An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets
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Title
An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets
Authors
Keywords
Frequency reserves, Smart grid, Artificial Intelligence, Ancillary markets, Bidding strategies, Reschedulable loads, Uncertainty metrics, MC-Dropout, Artificial neural networks, Bayesian neural networks, Epistemic uncertainty
Journal
APPLIED ENERGY
Volume 280, Issue -, Pages 115918
Publisher
Elsevier BV
Online
2020-10-09
DOI
10.1016/j.apenergy.2020.115918
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