When Policy Changes Impact Savings

Net energy metering (NEM) has been a critical driver in the growth of residential solar over the past decade. There is an ongoing debate between utility companies and proponents of solar energy as to whether net metering at retail rates is the appropriate value to place on residential rooftop solar. Per a recent report by N.C. Clean Energy Technology Center, net metering is currently under review in 27 states. Utilities have proposed various modifications to retail NEM including the addition of fixed charges, interconnection fees, and consumption based charges. As of Q3 2015, 42 states have proposed or implemented policy changes impacting solar.


Figure 1. Recent Action on Net Metering, Rate Design, and Solar Ownership Policies

Figure 1. Recent Action on Net Metering, Rate Design, and Solar Ownership Policies


Fixed Charges in APS

As part of Genability’s commitment to provide the most accurate forecasted savings, we make sure to update our technology and data to account for any changes that occur. In 2014, Arizona Public Service (APS) introduced the first solar surcharge for new solar customers, assessing a fixed charge of $0.70 per kW installed every month.  A customer with a new 5 kW(DC) system in APS will pay an additional fixed charge of $3.50 per month after installation.  This decreases the avoided cost of power by 0.5¢/kWh and adds up to over $1000 in additional post-solar costs over 20 years.  

How Do I Include These Charges in a Savings Analysis?

Within Switch this charge is driven by a property on the solar profile, keyed as systemSize, and measured in kW(DC). Genability customers who use our integrated PVWatts API to calculate solar production will automatically have the systemSize populated on their solar profiles and subsequently in their savings calculations.  

For those API customers who pass us either monthly readings or hourly solar production baselines (using the hourly baseline is better and encouraged) for their solar profiles, it is easy to include system size when you add and update your solar profile. Just include the systemSize property:

“properties” : {

  “systemSize” : {

    “keyName” : “systemSize”,

    “dataValue” : “5”



By always including systemSize with your solar profiles you ensure that your Switch calculations are precise and you can deliver the savings you promise your customer. We’ll continue to monitor solar policy and make necessary changes to our services so that you always have accurate savings information.

Please contact us at support@genability.com if you have questions.

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Smarter Savings Forecasts with Intelligent Baselining

We’ve significantly upgraded the way homeowners’ electricity usage is baselined prior to going solar. Now it’s possible to accurately model savings and avoided cost for all customers including those on time of use tariffs with as few as one utility bill! Part of our recent set of upgrades to Switch, this new feature is called Intelligent Baselining.

What Happens Now?

Without Intelligent Baselining, savings forecasts require an entire year’s worth of bills. Having 12 months of usage captures how a household’s consumption changes across seasons. Knowing this variation is especially important for savings projections since approximately 52% of residential electricity rate plans in the U.S. have seasonally-dependent charges.

Even with a full year’s worth of bills, savings forecasts have largely been limited to non-Time-of-Use (non-TOU) tariffs. A monthly bill provides no meaningful information about electricity usage from one hour to the next, or one day to the next. Since electricity rates vary within a day on TOU tariffs, you cannot accurately predict savings without understanding hourly and daily usage. Ideally, you could base TOU savings projections on customers’ hourly meter data, but this data is not always available and otherwise presents a major bottleneck in the sales process.

Intelligent Baselining for Analyzing TOU

Genability’s tariff database indicates approximately 35% of residential rate structures in the U.S. currently have some rates that vary across days or within a day. In many markets, TOU rate plans are becoming increasingly popular. For example, around 41% of Arizona Public Service customers are on a TOU plan. Residential TOU tariffs are also expected to become more common for Pacific Gas & Electric (PG&E), Southern California Edison (SCE), and San Diego Gas & Electric (SDG&E) customers since the California Public Utilities Commission is mandating that a TOU rate structure be the default residential tariff within 5 years. This trend is expected to spread nationally in coming years, particularly as electric vehicles and smart home appliances become more popular.  These products give homeowners more control over when they use electricity and therefore incentivize switching to rate plans where electricity is cheaper at certain times.

If a household’s meter data isn’t available, forecasting savings under TOU plans requires a better understanding of hourly consumption. Enter Intelligent Baselining. Intelligent Baselining interpolates hourly usage from a monthly bill based on how residential customers generally use electricity from one hour to the next, and from one day to the next. More specifically, this interpolation draws from Genability’s models of typical electricity use for every hour in a year. These models are specific to region and building type, and account for the effects of location, weather, and the behavior of different types of homeowners.

The figures below show Intelligent Baselining in action. The first plot shows the interpolated hourly usage over a summer day, for example an APS customer who uses 1,000 kWh of electricity a month.


Intelligent Baselining accounts for the fact that in summertime Arizona households typically use the most electricity during the afternoon and early evening.  It’s hottest outside at these times and air conditioning is used most heavily. We see that Intelligent Baselining also accounts for the decreasing and lower usage that’s characteristic of homes in the cooler hours (i.e. overnight and early morning).

This following plot (blue) shows interpolated hourly usage for the same Intelligent Baselining customer in Arizona, but for a winter day.


Here we see that more electricity is used just before work and after work, which makes sense. Comparing the plots of summer vs. winter hourly usage, we see that the same Intelligent Baselining model accounts for intra-day energy variation, but also how that intra-day variation changes across seasons (particularly due to the use of air conditioning in this example).

With the interpolated hourly usage information we can better predict how much customers will be charged under TOU rate schedules. For example, we could more accurately forecast how much the customer in the example plots above will be charged on those two days if they are on the APS ET-1 tariff, where electricity is more expensive from 9:00 AM to 9:00 PM than it is overnight (9:00 PM to 9:00 AM).

Ultimately, the Intelligent Baselining feature of Genability’s Savings Analysis API will help you determine when switching to TOU rates is optimal for your solar customers. The following chart shows some examples of where Intelligent Baselining was used to find 7.5% – 11.0% more savings when a solar customer switches to a TOU plan.


Intelligent Baselining for Extrapolating Usage

Intelligent Baselining also helps streamline the sales process if a potential customer doesn’t have 12 bills on hand. It does this by automatically extrapolating an entire year’s worth of usage from as little as one bill. As with the interpolation capabilities of Intelligent Baselining, the extrapolation function is based on the models of typical yearly energy use specific to region and building type.

Early numbers indicate that on average, Intelligent Baselining can use just one bill to predict annual usage within approximately 15% of actual annual usage on average. Much more detail on the accuracy of this extrapolation is available to customers upon request and will be touched upon in a later blog post.

How Can I Use Intelligent Baselining?

If you want to use Intelligent Baselining to significantly simplify the sales process and improve savings predictions, it can be turned on and off in calls to the Savings Analysis API. More information for current customers on how to do this is found on our developer documentation site. For others who are as excited about Intelligent Baselining as we are, we’re happy to give you a tour of Genability’s suite of products, including a Switch demo. Contact sales@genability.com to set up a demo today!

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Performance Improvements at Genability

Genability takes API performance very seriously.  We’re committed to continuously improving the performance of our software products as we grow in both functionality and customer adoption. We spent a lot of time this summer enhancing the stability of our systems, culminating in our latest upgrade to Switch, which responds to API calls significantly faster and can handle much higher call volume.

Upgrading our Performance SLA

Genability is excited to announce an upgrade to our current Service Level Agreement (“SLA”) related to performance uptime. Effective immediately, our new standard uptime guarantee is 99.95%, up from 99.5%. You can always view Genability’s recent uptime performance at http://status.genability.com/.

Sometimes we may need to interrupt service for scheduled maintenance, which won’t count towards this 99.95% figure. We promise to only do such maintenance on the weekends and to announce it in advance. Note that in the life of the company, we’ve not yet had to implement a scheduled outage. If you are a current customer of Genability, your account representative will be reaching out to you shortly to upgrade your existing contract and answer any questions you may have.

Savings Analysis Call 8x Faster

Arguably our most important API is our Savings Analysis call, which compares future electricity costs under two scenarios, usually with and without solar. This allows solar developers to determine the avoided cost of power for a particular project or customer. It is one of our most demanding calls in terms of database access and CPU time, since it calculates three separate bills for 20 or more years into the future. Often, a solar salesperson is using a quote tool that calls our API while they’re in front of a customer, so response times are very important.

With this in mind we set out to reduce the average response time of Savings Analysis calls to under 500 milliseconds from around four seconds in June. As you can see from the graph below, we were quickly able to achieve our goal (an 8x improvement) in parallel with increasing call volumes from our new and existing customers. Current average response time is around 450 milliseconds.

SA speedup chart

Many different changes contributed to this increase in speed. We added caching to some of the most common database queries. We optimized the algorithms in the core calculation logic.  We upgraded our databases to newer and faster servers. And we optimized some of our other calls that were having a disproportionate impact on our servers. But most significantly, we refined our database queries and tuned database indexes.

Calls Faster Across the Board

Our optimizations, while mostly focused on the Savings Analysis call, have improved performance across all types of calls. Our Apdex, a measure of composite application performance, improved dramatically overall. Apdex is a number between 0 and 1, 1 being the best. We are alerted whenever the Apdex goes below 0.7. In June and early July this happened periodically. After our changes, Apdex has been consistently above 0.9, indicating that almost all API calls complete within a satisfactory timespan.

Handling Increasing Call Volume

As mentioned before and as visible on the graph, API call volume is increasing quickly. It’s currently doubling every four to six months. In our load-testing environment we have confirmed that we can maintain responsiveness when handling eight times the current load. We load-test each release before we deploy to production to make sure we maintain this headroom.

What’s Next?

We continue to work towards lower response times and higher uptimes. We are adding more caching and spending more effort optimizing the most critical pieces of code. For example, we have an initiative to re-architect the way we store fine-grained (time-series) meter data, as we are seeing exponentially more of this. As always, we continue to monitor day-to-day API performance to make sure we’re keeping up with increasing call volume.

We’re Hiring!

We have lots of work ahead of us to scale further and develop more great products for the new energy economy, and we’d love to have you join us! If you or someone you know is interested in learning more, check out our careers page or contact us at jobs@genability.com.

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Version 3 of Switch Now Available!

We are proud to announce a major upgrade to Switch, our flagship product designed specifically for solar origination.

We’ve significantly enhanced the way usage data is handled.  With only a single utility bill you can now accurately baseline customers’ avoided cost of power for an entire year.  This feature reduces the burden on customers to provide 12 monthly bills, allows you to sell faster, and reduces deal processing costs. In markets with time of use (TOU) rates you’ll be able to show higher avoided costs for those already on TOU, and suggest switching to TOU for even greater savings when applicable.  All of this with only a single utility bill in every U.S. market.

There are 4 major and a few minor updates included in this release.

Hourly Usage Modeling – Switching to TOU when going solar enhances savings in many markets.  In other markets a large segment of homeowners are already on TOU rate schedules. With this upgrade you can generate accurate TOU proposals by collecting one or more utility bills.  No hourly data, such as Green Button, required.

Intelligent Baselines with Under 12 Months of Bills – Many customers haven’t been in their home for 12 months. For those who have, collecting 12 utility bills can be disruptive to the sales process.  Now you can accurately baseline annual usage and avoided cost with only a single utility bill.

8X Faster, Better Performance – Our savings analysis calculations are now 8X faster than the start of this year. Our average response time is consistently under 500 milliseconds. Our customers are experiencing rapid growth, and making more calls every day. So we’ve also scaled our infrastructure. We’ve tested our capacity and were able to support over 8X our current peak volumes without a blip.

Tiered Rate Optimization – Optimizing solar pricing and system design in tiered rate markets like California can be difficult.  Switch delivers all the information you need to design systems that shave expensive tiers along with rich savings details that make it easy for your customers to understand value.

PV Watts 5 – The latest in solar production forecasting.  NREL completed a comprehensive refresh of the algorithms behind their widely used PV Watts simulation tool.  We’ve incorporated PV Watts 5 into Switch to help you generate the best offers.

Switch is quickly becoming the industry standard for forecasting solar savings. Genability works with 8 of the top 10 residential solar service providers, over a million solar proposals have been created using our products since 2014.  We are committed to delivering ongoing improvements to Switch that make going solar easier and faster.

Over the next two weeks we’ll dedicate blog posts to each of the major changes.  As always if you have any questions or would like a demo, please contact us.

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Significantly Reducing America’s Carbon Footprint

The Clean Power Plan (CPP), finalized last week, is the most significant regulation of greenhouse gases in U.S. history. Since passing the Clean Air Act in 1963, the federal government has played a critical role regulating air pollution levels. Greenhouse gases were legally established as “air pollutants” by the Supreme Court after Massachusetts vs. EPA (2007). In 2009 the Clean Air Act was updated with a finding that listed six greenhouse gases (most notably CO2) as a hazard to public health and welfare paving the way for broader controls.

The CPP is centered around reducing CO2 emissions from power plants, the sector responsible for the largest slice of carbon production in the U.S. (31% in 2013). When fully implemented in 2030, carbon output from the power sector must be at least 32% lower than 2005. This results in a 870 million ton reduction in CO2 emissions, the equivalent of removing 166 million cars from the road. Initial cost/benefit estimates by the EPA claim a net benefit between $25B and $45B with an average monthly electricity bill savings of $80/year by 2030.


Every state has a target carbon emissions level set by the EPA. The target is a function of present-day power generation capacity and associated emissions levels. Power plants are categorized as either fossil fuel fired electric steam generation, natural gas combined cycle, or zero emission renewable energy. Many states have aggressively pursued renewable energy since 2005 and are well on their way to achieving 2030 targets. The map below from the Brookings Institute illustrates mandated carbon reductions by state.  States with the largest gaps are dependent on coal for electricity generation.

       cpp_final_Artboard 1

Each state must propose a plan that includes interim milestones towards meeting their respective target no later than September 2018, with mandatory reductions starting in 2022. EPA will accept plans that specifically replace coal fired generation with natural gas and renewables, or plans that include mixed measures towards reducing carbon intensity. The latter allows for renewable portfolio standards, energy efficiency programs, purchase of emission rate credits, etc.  The breadth of this mandate will likely result in prolonged court battles with states/industries adversely affected.  While many states and numerous businesses have come out in support of the regulation, others claim economic damage from the measures.  

Genability supports the Clean Power Plan and believes distributed generation and energy efficiency play a vital role in reducing energy consumption and the need for centralized power generation. The products and services offered by Genability in conjunction with providers of solar, storage, electric vehicle and connected home devices are already helping reduce emissions across the U.S. For more information about how Genability makes buying and selling clean energy products cheaper please visit our website.

Related Links

Clean Power Plan – Final Rule

What is the CPP? – Washington Post

Twitter – #actonclimate

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Summer’s Effect on a Household’s Electricity Bill

Across the country, summer can bring sun, fun, vacations, and…higher electricity bills.

To combat the heat and humidity of summer, households across the country crank up the A/C, increasing the load an average home pulls from the power grid. But even beyond the extra electricity homes use by turning the knob on the air conditioner all the way up, summer brings other changes to energy use. Kids from kindergarten to college come home and use more electronics (and A/C!) during the long summer days. And all of this extra use is on top of what’s already needed to keep the refrigerator running, Netflix streaming, and lights on!

Greater residential electricity consumption drives a higher demand for electricity across the country. This ultimately means power plants need more fuel to generate electricity, which leads to higher fuel prices, particularly when supply is constrained. Moreover, the greater overall demand for electricity means power companies face higher pressure to make sure the grid is performing well so that electrons are reliably flowing to homes.

These higher costs tend to be passed from electricity providers to customers. The U.S. Department of Energy reported that average residential customers faced energy costs that were 0.74 cents/kWh more from May to September than from October to April in 2013 and 2014, more than a 6% increase. Those numbers are a national average and therefore do not easily capture potentially more dramatic regional variation.

Genability’s rate database reflects this seasonal differential too. Of the active, default residential tariffs in the database, 100 of them across 56 utilities distinguish rates by season. Using Genability’s data and calculator/API, we can look at a hypothetical residential customer in Phoenix, AZ, who gets electricity from Arizona Public Service. If this household uses 1,000 kWh of electricity for the first month of last winter (12/21/2014 – 1/21/2015) and the first month of this summer (6/21/2015-7/21/2015), they’ll pay $33.45 (almost 30%) more on the summer bill. And that’s assuming the same amount of electricity is used in both months! If the household uses even just 10% more energy in the summer to combat the >100 degree temperatures, they’ll have paid $51.14 (42.5%) more on the summer bill!

But all hope is not lost! A household can save money by changing some habits and hardware. Making sure that the A/C is on only when needed, which a programmable thermostat can automate, helps limit the load required by running the A/C all day, every day. Avoiding things that heat a home can reduce the need for fans and A/C too. This can be done by limiting the number of hot meals cooked (which raises the temperature of a kitchen) and making sure doors and windows are properly sealed (to keep the cool air in and hot air out), for example. More tips on reducing summer electricity use are here, and see Genability’s tools for info on some utilities’ rate plans and rebates that are intended to reduce summer bills.

Altogether, the average residential customer faces higher electricity bills in the summer, regardless of whether someone turns up the A/C or not. When factoring in the greater need for electricity many homes face in the summer, customers can quickly feel the squeeze of much higher electricity bills — but a number of changes primarily to habits and hardware can be made to limit this squeeze.

Learn more about Genability’s data and products at http://genability.com and http://developer.genability.com.

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California Rate Reform, the Utility Death Spiral and the Duck Curve

What did the California Public Utility Commission (CPUC) recently decide, and what does that suggest about the longer term California energy prices and their impact on the rapidly growing solar market?

On July 3rd, the CPUC voted for approval on the awaited changes to CA’s residential electricity rate structures.  Rather than immediately impacting electricity prices like a general rate case, these are guidelines for the design of new rates that will implemented over the next 2-4 years.  Let’s first highlight the main changes in the decision, and then take a look at what this hints toward for the solar deployment in CA over the longer term.


1. Net Metering

The decision does not involve changes to CA’s retail rate net metering policy, which is the #1 driver of solar growth in CA.  It is highly likely that this policy will change in the coming years, although no one can predict what it will look like at this time.  Nearly every PUC in the country is reviewing various proposals, and we are likely to see a variety of approaches tested out before a new standard arises in a heavily solarized world.  Rest assured that few energy policy decisions will be a closely reviewed, or as hotly contested, as changes to net metering policies.  Either way, the next few years will be some of the most interesting in CA’s energy history.

Impact: None at this time.


2. Fixed Charges vs. Minimum Bill

The CPUC denied the request by the CA Investor Owned Utilities to enact a $10 a month fixed charge on all customers.  Instead, they allowed for a minimum bill charge of up to $10 a month.  This has a lesser impact on solar economics, which was welcomed by solar advocates, however the door has been left open for fixed charges in future rates cases.

Impact: Minimal impact on solar economics, but could change in the future.


3.Tier Flattening

The biggest news is the reduction of the CA 4 Tier residential tariff structure to 2 tiers and a super-user charge for the heaviest consuming households.  This will have an immediate impact on solar economics in CA by reducing the charges on the heaviest users in the state.  For an in depth analysis of the reasoning behind this change, and possible impacts on solar, check out:

Inside California’s Rate Restructuring Plan

California Reaches Compromise on Utility Residential Rate Reform

Impact: Reduces solar savings for the heaviest energy users.


4.Time of Use Rates

The CA IOUs will be required to begin designing and testing TOU rates for residential customers, with all customers moving to default TOU rates by 2019.  This has the largest long-term implications, as TOU rates can facilitate a whole host of technologies like solar, storage, EVs, and smart homes.

Impact: Long-term change in pricing incentives for all kinds of technology.


5. The Utility Death Spiral and the Duck Curve

The implementation of a minimum bill instead of a monthly fixed charge should help to combat the Utility Death Spiral, the feedback loop where grid-wide fixed costs divided by a shrinking pool of customers drives up rates, causing more customers to go solar.  While commonly mentioned in the industry as the greatest threat to the incumbent utilities, pairing these charges with the shift to TOU rates should have a balancing effect.

As TOU rates come into effect and solar makes up an increasing percentage of the CA energy mix, over the long term we will see TOU Peak periods begin to shift away from midday when solar is plentiful, to early evening right when the duck curve peaks.  Without wide scale storage integration, we are likely to see a large decline in daytime power rates, which will rapidly eat into solar ROI.  The CPUC’s decision to pair a minimum bill with TOU rates may help to stabilize prices in the future, preventing a massive shift in either direction.

Bottom Line: The Utility Death Spiral and the Duck Curve may work to counteract each other in the long-term.


Stay Up to Date on Rapidly Changing Rates

Follow Genability to hear about the immediate changes and long-term trends impacting the solar and storage industries across the US and beyond.


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Genability Continues to Grow!

Genability is getting bigger all the time. We’ve rounded out our team with even more new people and we are very happy to have them onboard.

CVP_Genability_Tarpan_Dixit_I1C1232Tarpan Dixit
Role at Genability: Product Marketing, Partnerships
I’ve lived in: Houston, Austin, Sunnyvale, Munich, and San Francisco
Outside of work, I like to: Travel, read, support my favorite sports teams, attend concerts, and enjoy a cold beer.
I work in cleantech because: It’s at the intersection of finance, technology, and conservation. This rapidly growing sector allows us the rare opportunity to make a difference                                     and a profit.


CVP_Genability_Jenny_Trinh_I1C1242_sharpJenny Trinh
Role at Genability: Tariff Data Entry Specialist
I’ve lived in: San Francisco, Davis, and Sacramento
Outside of work, I like to: Try new restaurants, exercise, and travel.
I work in cleantech because: It’s useful information that I can apply to my everyday life to save on energy and costs.


CVP_Genability_Trevor_Kennard_I1C1252Trevor Kennard
Role at Genability: Tariff Data Entry Specialist
I’ve lived in: Hong Kong, Emeryville, Berkeley, San Ramon and Oakland
Outside of work, I like to: Go to as many concerts and festivals as possible, bicycle around Oakland, sample local food and craft brews, and see the Sharks and Giants win!
I work in cleantech because: We’re on this amazing planet for a sliver of time, might as well help preserve it for all to                                     enjoy :)

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OpenSavings is Here

How popular is solar PV in your area and how much are people saving? How much does solar cost? What if you live in a San Francisco apartment or a mobile home in Sonoma, versus a typical home in LA?


Save by Genability is a new initiative that sheds light on key questions homeowners have when considering solar. Underlying the Save website is OpenSavings, an open source API created by Genability to help the solar industry quickly figure out location specific metrics that drive solar adoption: electricity costs, solar costs, system production and how popular solar is in the area. Simply input a zip code and get location and building specific cost savings data in an accurate and easy to use format. This data can be useful in several ways, including to baseline electricity costs, identify new solar markets, or to better target solar lead generation.

SF City Rank

OpenSavings ranks cities based on their potential aggregate solar savings, which takes into account each city’s specific building mix and the percentage of the total stock occupied by owners. To do this, Genability combined utility rate and typical usage data, with PVWattsOpenPVCensus, and other data sets analyzed, to run and combine many cost savings scenarios.



Savings are broken down within a city based on building type and usage scenario. Since most homeowners are unfamiliar with their usage, or energy consumption, Genability provides cost savings results for typical homes (attached or detached home, apartment in a small or large building, and mobile home), with low, high and average usage scenarios. Keep in mind that OpenSavings results are not site specific but represent average cases. In the future, we plan to evaluate many more scenarios (e.g., different system designs and tariff switches) to provide richer and more granular data.

OpenSavings data is currently available for CA but we plan to expand coverage nationally over the coming months, with priority on the top 25 solar states. Sign up at Save by Genability if you’d like us to keep you posted on our progress.

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Genability Switch the Market Standard for Residential Solar

We’ve been busy the last few months with product upgrades, growing the team, as well as adding several new residential solar Switch customers.  Genability now works with 7 of the top 10 residential solar providers in the US.


Genability assisted Sunrun with the rollout of their BrightPath station.  These kiosks are located throughout various big box retailers in California and New York and allow prospective solar customers to receive an estimate of potential savings based on their homes’ zip, building type, shade and size.  Sunrun is also using Switch APIs in their BrightPath installer quote tool for potential customers in the 12 states they operate in.

sp_2014_logo_black_orange_cmyk-30SunPower’s residential quote tool, SunPower Spectrum, uses the Genability Switch APIs for their installer partner and dealer network quote tool.  Spectrum has rolled been rolled out to dealers in California and Hawaii.

DS-Logo_White-Background-high-resDividend Solar, which offers a “solar-ownership-as-a-service” loan, has integrated the Switch APIs into the EmpowerPortal – their residential solar platform.  Dividend operates in over 30 states with a network of almost 100 installation partners.

Sunnova-LogoSunnova, a residential lease provider, raised a $250 MM fund to develop solar projects in the US.  They are utilizing the Switch APIs in their internal quote tool, NovaQuotes, for installers in 10+ states including California, Texas, New York and New Jersey.


Protection1, one of the largest home security providers in the country, launched a solar PPA product through a $200 MM fund with their subsidiary, BriteEnergy.  Their installers use their new quote tool, built on top of the Switch APIs, to quote solar to existing and new home security customers in California.


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