Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation

Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation

Solar forecasting plays a key part in the renewable energy transition. Major challenges, related to load balancing and grid stability, emerge when a high percentage of energy is provided by renewables. These can be tackled by new energy management strategies guided by power forecasts. This paper pre...

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Bibliographic Details
Main Authors: Paula Bendiek, Ahmad Taha, Qammer H. Abbasi, Basel Barakat
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
solar irradiance forecasting
short-term and long-term predictions
machine learning
support vector machine
Facebook Prophet
contextual optimisation
Online Access:https://www.mdpi.com/2076-3417/12/1/134

Internet

https://www.mdpi.com/2076-3417/12/1/134

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