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Higher renewable energy integration into the existing energy system of Finland – Is there any maximum limit?
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“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 [45]
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Metadata
- Authors
- Zakeri, B., Syri, S., & Rinne, S.
- Affiliations
- Aalto University (FI)
- Corresponding author
- Zakeri, Behnam
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 92
- Pages
- 244-259
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2019412828
- Cited by
- 107
- References
- 102
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 7 · 2023: 8 · 2022: 6 · 2021: 11 · 2020: 14 · 2019: 12 · 2018: 17 · 2017: 13 · 2016: 9 · 2015: 4
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Aalto University's Energy Efficiency research program
- Aalto ENG Doctoral School
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable Energy and Sustainability
- Keywords
- renewable energy integration, energy flexibility, wind energy, solar energy, bioenergy, hydropower, solar heating and cooling, photovoltaics, heat pumps, energy mix optimization, carbon emission reduction, energy efficiency, energy storage
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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