News Archives - Page 8 of 10

The future of solar forecasting with the new GOES-16 satellite

Patrick Keelin | Feb 8, 2018

The SolarAnywhere® team transforms satellite images into industry-leading solar irradiance data. We make algorithms, not satellites, so when NOAA/NASA upgrades the hardware, we take notice of the possibilities—and get to work. On January 2, 2018 we made a seamless...

SolarAnywhere FleetView Forecasts Top EPRI Study

Skip Dise | Nov 28, 2017

The Electric Power Research Institute (EPRI) recently completed a solar forecasting trial designed to help utilities understand the value that accurate solar prediction can bring to their energy market schedules and balancing operations. SolarAnywhere® FleetView®...

MN Solar Pathways: Illuminating pathways to 10% solar

Morgan Putnam | Apr 13, 2017

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...

SolarAnywhere detects calibration error in nation’s most trusted ground site

Richard Perez | Jan 5, 2017

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)...

Version control: Your bankable signpost in a digital world

Mark Liffmann | Aug 4, 2016

If you own an iPhone, you’ve seen the familiar message “iOS 9.3.3 is available for your iPhone and is ready to install.” If you’re like me, you hit “Remind me later” a few dozen times before you actually install the update. Call me paranoid, but I always have to take...

The proof is in: Integrating PV into the grid is better with behind-the-meter solar forecasts

Skip Dise | Dec 11, 2015

In recent years, Clean Power Research created a solar forecast method to accurately predict power production of “invisible,” behind-the-meter PV systems—typically those found on homes and commercial buildings. In our approach, forecasts are generated by simulating the...

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