Pandemic-Aware Day-Ahead Demand Forecasting Using Ensemble Learning
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09678385.pdf?arnumber=9678385
Reference38 articles.
1. Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting
2. An Introduction to Statistical Learning
3. Day-ahead electricity demand forecasting: Post-COVID paradigm;farrokhabadi;IEEE Dataport,2020
4. Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities
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