Microgrids in View of Forecasting and Management – Challenges & Opportunities Considering Emerging Technologies Integration
Author:
Affiliation:
1. Wrocław University of Science and Technology,Wrocław,Poland
2. Sapienza University of Rome,Department of Astronautical, Electrical and Energy Engineering (DIAEE),Rome,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10194576/10194600/10194828.pdf?arnumber=10194828
Reference24 articles.
1. Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks
2. Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach
3. Microgrid Energy Management System With Embedded Deep Learning Forecaster and Combined Optimizer
4. Full-deployed energy management system tested in a microgrid cluster
5. Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids
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