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DOE OSTI · 1395344

A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology

Hamann, Hendrik F.
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Abstract

The goal of the project was the development and demonstration of a significantly improved solar forecasting technology (short: Watt-sun), which leverages new big data processing technologies and machine-learnt blending between different models and forecast systems. The technology aimed demonstrating major advances in accuracy as measured by existing and new metrics which themselves were developed as part of this project. Finally, the team worked with Independent System Operators (ISOs) and utilities to integrate the forecasts into their operations.

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BibTeXRIS

Hamann, Hendrik F.. 2017-05-31. A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology. https://doi.org/10.2172/1395344

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