On March 30, 2017, the Minnesota Department of Commerce along with its core team, kicked off its Department of Energy-funded MN Solar Pathways project aimed at finding the least-risk, best-value solutions for MN to achieve its solar energy goals. Clean Power Research...
How accurate are SolarAnywhere® irradiance data? They are accurate enough to identify an undetected calibration error at one of the nation’s most trusted ground truth stations. Figure 1 presents Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI)...
The challenge is well-known by commercial building owners and PV project developers: on site solar PV generation offers excellent energy savings to commercial customers, but can result in unreliable demand charge reduction benefits. Through a recent DOE funded...
Solar Prospector Sunsetting As many of you have heard, the National Renewable Energy Laboratory (NREL) will be sunsetting the Solar Prospector tool. The Solar Prospector tool was last updated in 2012 by NREL, and its purpose was to provide mapping and data analysis in...
Solar resource variability is an unavoidable natural characteristic that impacts solar power forecasting. However, its impact on forecast uncertainty can be reduced by providing information on predictive uncertainty, along with deterministic forecast values. Having...
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