Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming.
Benedikt FinnahJochen GönschFlorian ZielPublished in: Eur. J. Oper. Res. (2022)
Keyphrases
- approximate dynamic programming
- storage systems
- linear program
- bidding strategies
- dynamic programming
- file system
- disk drives
- wind power
- short term
- reinforcement learning
- step size
- scheduling problem
- high performance computing
- electricity markets
- power generation
- energy consumption
- control policy
- average cost
- sensor nodes
- online auctions
- scientific data
- flash memory
- sensor networks
- cost function
- machine learning