Solar Engagement Platform

Solar Engagement Platform

New DER Planning Software from Clean Power Research and SMUD Enables Utilities to Predict Bottom-Line Impacts in a DER World

 Product will benefit utilities of all sizes Sacramento, Calif., Jan. 17, 2018—Clean Power Research® and SMUD today...

WattPlan® Revealing Savings of Electric Vehicles and Solar in California, New York, Arizona

Online software has already provided 10,000 residential customers with instant, personalized estimates to determine...

New WattPlan® Software by Clean Power Research Sets Standard for Utilities to Deliver Highly Personalized Answers to Energy Questions

Early adopters are cost-effectively engaging customers about solar options with WattPlan®’s interactive, online...

Clean Power Research Takes on Solar Soft Costs and PV Fleet Integration with $1.5 million in SunShot Initiative Awards

New software services will help utilities cost-effectively manage interconnection, better engage solar customers, and...

Solar Power Generation in the US: Too Expensive or a Bargain?

This article identifies the combined value that solar electric power plants deliver to utilities’ rate payers and...

Solar Sustained Vehicles: A Consumer’s Solution to Protection in an Age of Oil Dependence, Economic Uncertainty, & Global Warming

A consumer’s view of the fuel saving benefits of Solar Sustained Vehicles. Download PDF >>>

A Simple Method for Consumers to Address Uncertainty When Purchasing Photovoltaics

Should consumers invest in PV now, or wait? Download PDF >>>

Blog

The new SolarAnywhere® Probabilistic Forecast enhances risk management
The new SolarAnywhere® Probabilistic Forecast enhances risk management

PV forecasts are important for energy scheduling and grid stability. Traditional methods for near-term forecasts involve blending an ensemble of Numerical Weather Predictions (NWPs) into a single deterministic output, which is favored because it is simple to implement in operations. However, deterministic forecasts do not convey any information about marginal risks or the propensity for […]

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Streamlining Large Load Request Workflows
Streamlining Large Load Request Workflows

This year’s DTECH Data Centers and AI conference made it clear that in the era of AI and data centers, large load requests are hitting utilities faster and at greater scale than ever before. Policy, pricing, supply chain, and physical infrastructure are well-known...

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