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Evaluating Irradiance Accuracy Using California ISO Data: Lessons Learned

Research + Solar Prediction | February 2012

This presentation provides the results of a study evaluating the short, medium and long-term accuracy of irradiance...

Valuing a Portfolio of PV Investments

Research + Solar Prediction | October 2010

This presentation describes the importance of PV output variability as a factor in calculating the value of a fleet of...

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

Research + Solar Prediction | May 2010

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

Blog

Apr 22, 2025

SolarAnywhere® Version 4.0 irradiance model launches with extreme weather insights

SolarAnywhere customers have plenty to be excited about with this year’s release of Historical Data Version 4.0 (V4.0). Alongside substantial model enhancements that have reduced global data uncertainty, we’ve introduced a new data portal UX/UI with Map Overlay visualizations, making it easier to download data in bulk and understand solar extreme weather trends. Consistent with […]

Advancing utility solutions at DISTRIBUTECH 2025

Announcing AI capabilities, FleetView® and new partner integrations ahead of DISTRIBUTECH 2025 As global beneficial electrification accelerates, utilities and their tools must continually adapt. The US Department of Energy is explicitly encouraging utilities to...

PowerClerk API integration with Python

PowerClerk® API Integrations using Python can improve the efficiency of any PowerClerk program. Connecting digital systems to share data will reduce mismatches, errors, and improve accuracy. Automating review processes, updating results from inspections, or work order...

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