Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage

DOI10.1287/ijoc.2017.0768zbMath1446.90045OpenAlexW2768301744MaRDI QIDQ5131714

Daniel F. Salas, Warren B. Powell

Publication date: 9 November 2020

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2017.0768

zbMATH Keywords

dynamic programming-optimal controlprogramming: stochasticindustries: electric

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Inventory, storage, reservoirs (90B05) Dynamic programming (90C39) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (2)

Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming ⋮ Bayesian Exploration for Approximate Dynamic Programming

Uses Software

• ElemStatLearn

Cites Work

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