Integration of Renewable Energy Sources in future power systems: The role of storage
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AI-driven energy management systems use machine learning algorithms to forecast renewable energy availability and reallocate energy distribution to ensure constant supply and reduce non-renewable energy use.
“Such systems use machine learning algorithms to forecast when the sun or wind will be available, and energy distribution is then appropriately re-allocated to ensure a constant supply and diminish the use of non-renewable energy sources43–45.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [44]
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- Authors
- Weitemeyer, S., Kleinhans, D., Vogt, T., & Agert, C.
- Affiliations
- Carl von Ossietzky Universität Oldenburg (DE)
- Corresponding author
- Weitemeyer, Stefan
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 75
- Pages
- 14-20
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2058391473
- Cited by
- 514
- References
- 24
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 43 · 2023: 44 · 2022: 48 · 2021: 49 · 2020: 67 · 2019: 58 · 2018: 46 · 2017: 41 · 2016: 30 · 2015: 20
- FWCI
- 16.12
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Renewable Energy (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Funders
- German Federal Ministry of Education and Research (03SF0439A)
- Lower Saxony Ministry for Science and Culture (MWK)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- renewable energy integration, energy storage, storage efficiency, wind energy, solar energy, curtailment, flexible power plants, seasonal storage, power system modeling
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