Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market
By Hamed Mohsenian-Rad. IEEE Transactions on Power Systems, 2016
170 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/4f9143f13c00a29341ac44fab7ed74dd87eb4124
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In Automotive Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Coordinated Price-Maker Operation of Large Energy Storage Units in Nodal Energy Markets (2016, unknown): “Note that, risk management can be conducted also by incorporating a financial risk model, such as the conditional value-at-risk (CVaR) [38], into the problem formulation in (58), e.g., see [27].”
- Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty (2018, unknown): “The authors in [17] propose a stochastic battery arbitrage model for day-ahead and real-time prices.”
- From demand response to transactive energy: state of the art (2017, background): “References [40, 41] derive the charging/discharging schedules for batteries, taking into account changes in batteries’ state of charge, charging/discharging rate limits, energy capacities, and impact of charging/discharging on battery life.”