Dynamic Energy Management
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Dynamic scheduling and (safe) reinforcement learning could also be used to balance the electric grid in real time; some electricity system operators have started to pilot similar methods at small, test case-based scales.
“Dynamic scheduling [225,546] and (safe) reinforcement learning (RL) could also be used to balance the electric grid in real time; in fact, some electricity system operators have started to pilot similar methods at small, test case-based scales [520].”
From Tackling climate change with machine learning (2023) · cites this paper as [546]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Moehle, N., Busseti, E., Boyd, S., & Wytock, M.
- Affiliations
- Stanford University (US)
- Corresponding author
- Busseti, Enzo
- Venue
- Springer Optimization and Its Applications
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 69-126
- ISSN
- 1931-6828 (ISSN-L)
- 1931-6836
- OpenAlex
- W2922185651
- Cited by
- 20
- References
- 33
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 3 · 2013: 1
- FWCI
- 10.46
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer optimization and its applications (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- dynamic energy management, optimal power flow, convex optimization, model predictive control, real-time control, forecast uncertainty, demand forecasting, power grid planning, Python library
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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