Solar Prediction Archives - Page 12 of 17

UVIG technical achievement award presented to Tom Hoff

Jeff Ressler | Apr 27, 2015

Last week, the Utility Variable-Generation Integration Group (UVIG) recognized Tom Hoff, Clean Power Research founder and president of Research and Consulting, with an award for his ongoing contributions to solar forecasting. The ability to forecast the output of tens...

When it comes to solar resources, 2014 was anything but average

Adam Kankiewicz | Mar 13, 2015

Solar resources naturally vary from year to year, and 2014 was no exception. While the 2014 average monthly solar resource map shows expected patterns, with the greatest energy output in the southwest, the real story is revealed by the PV power variance map. The PV...

Solar forecasting goes “EPIC”

Skip Dise | Jan 22, 2015

Itron and Clean Power Research are embarking on the next phase of research that will lead to high-fidelity distributed solar photovoltaic (PV) forecasts, and integration of those forecasts into net load forecasts for the California Independent System Operator (ISO)....

Understanding PV variability: Affects of the 2014 California monsoon

Adam Kankiewicz | Dec 4, 2014

While we all know that the energy production of solar PV systems can vary temporally on the short term (e.g., hourly and daily basis), monthly to annual variability can significantly affect the ongoing status of a developed PV solar asset. For developers and owners of...

Using ground plus satellite solar irradiance data to reduce risk, increase project profitability

Skip Dise | Nov 13, 2014

If you stopped by the Clean Power Research booth (#118) at the most recent Solar Power International (SPI) Conference in Las Vegas, you would have noticed a tall metal frame supporting some measurement equipment. While this structure could have passed for a new-age...

Solar fleet modeling part 3: Balancing the variability of PV

Ben Norris | Sep 18, 2014

In our previous two posts, we described how to incorporate PV diversity (diversity in both design configuration and geography) in fleet-level modeling, and how to generate high frequency fleet power data with 60-second temporal resolution. In this post, we will show...

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