Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy
Author:
Affiliation:
1. Center for Processes, Renewable Energies and Energy Systems (PERSEE), MINES ParisTech, PSL University, Sophia-Antipolis, France
Funder
ADEME’s
Investissement d’Avenir
ERA-Net SES RegSys Program
Smart4RES Project
Horizon 2020 Framework Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/9927170/09716858.pdf?arnumber=9716858
Reference44 articles.
1. Extremely randomized trees
2. Feature-Driven Improvement of Renewable Energy Forecasting and Trading
3. A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation
4. Cost-oriented load forecasting
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