Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, which is being developed by the State of Kuwait. The park contai...

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Bibliographic Details
Main Authors: Sue Ellen Haupt, Tyler C. McCandless, Susan Dettling, Stefano Alessandrini, Jared A. Lee, Seth Linden, William Petzke, Thomas Brummet, Nhi Nguyen, Branko Kosović, Gerry Wiener, Tahani Hussain, Majed Al-Rasheedi
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
wind energy
solar energy
renewable energy forecasting
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/1996-1073/13/8/1979

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