Machine Learning Approach to Day-ahead Scheduling for Multi-period Energy Markets

Subjects

Subjects :

Computer science
Multi period
Scheduling (production processes)
Industrial engineering

Details

ISSN :

18838189 and 04534654

Volume :

55

Database :

OpenAIRE

Journal :

Transactions of the Society of Instrument and Control Engineers

Accession number :

edsair.doi...........a3e9cffbe9cacc4e6a0fb43d68afb433

Full Text :

https://doi.org/10.9746/sicetr.55.593