Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions

Author:

Bordin Chiara,Skjelbred Hans Ivar,Kong Jiehong,Yang Zhirong

Publisher

Elsevier BV

Subject

General Engineering

Reference62 articles.

1. "Operation of hydro power plants-a review, ";Singh;Renew. Sustain. Energy Rev.,2017

2. "Optimization of large-scale hydropower system operations, ";Barros;J. Water Resour. Plan. Manag.,2003

3. "Solving the hydro unit commitment problem via dual decomposition and sequential quadratic programming, ";Finardi;IEEE Trans. Power Syst.,2006

4. M. M. Belsnes, Optimal Utilization of the Norwegian Hydropower System. Fakultet for informasjonsteknologi, matematikk og elektroteknikk, 2008.

5. E. K. Aasgård, “Stochastic programming for short-term hydropower scheduling and bidding, ” 2019.

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