PowerClerk Analytics

Driving efficiency at scale: NYSEG/RG&E leverage Virtual Energy Audit to assess building efficiency

Case Study | March 2025

NYSEG / RG&E used a Virtual Energy Audit to assess building electric efficiency in their operating region,...

Exelon Companies Gain PV Generation Insights with FleetView^®

Case Study | July 2023

FleetView calculates behind-the-meter PV generation to inform gross load calculations and distribution planning Three...

Eversource decarbonizing Massachusetts’ grid with intelligent, long-term planning

Case Study | January 2023

Using data and advanced modeling to predict future DER adoption and distribution grid impacts. As consumers and...

Clean Power Research and Integral Analytics partner to help utilities optimize distribution network investments

Press Release | January 2023

New solution addresses key DER information gaps and equips utility planners with the information needed to gain...

Inferring PV system specifications from net loads and reconstructing gross loads

Case Study | October 2022

The US Energy Information Administration (EIA) estimates that residential PV systems accounted for 61 percent of total...

Virtual Energy Audit with Sacramento Municipal Utility District

Case Study | September 2022

Evaluating Building Performance of Single-Family Homes in SMUD’s Service Territory Clean Power Research has developed...

Inferring PV system specifications from net load

Program Optimization + Research | June 2022

The increasing penetration of grid-connected solar photovoltaics has challenged the existing method of planning and...

Blog

Jul 8, 2025

Reducing uncertainty with observational MET programs

This week, we’re pleased to present a guest post from GroundWork® Renewables’ Director of Data and Analytics Julie Chard. At GroundWork, we’re committed to delivering high-quality solar-meteorological (MET) data to reduce uncertainty in solar resource assessments. With more than 15 years of experience supporting the solar development community, our observational MET programs combine best-in-class equipment and […]

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 […]

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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