Solar O&M

Solar O&M

Maximize Energy Production of Distributed PV with New SolarAnywhere® SystemCheck™ Benchmarking Services from Clean Power Research

New PV benchmarking services give leasing companies, installer and financing networks and monitoring companies...

Reporting of Irradiance Model Relative Errors

Metrics used in assessing irradiance model accuracy such as Root Mean Square Error (RMSE) and Mean Absolute Error...

Validation of PV Performance Models Using Satellite-based Irradiance Measurements: A Case Study

This paper presents a study of how PV performance model results are affected when satellite-based weather data is used...

Blog

PNM® transforms electric service requests with PowerClerk®
PNM® transforms electric service requests with PowerClerk®

Public Service Company of New Mexico (PNM®) is showing what’s possible when utilities modernize their service request process. With more than 12,000 requests each year, from new home connections to complex commercial upgrades, PNM needed a better way to manage the...

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Reducing uncertainty with observational MET programs
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 […]

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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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