Solar photovoltaic generation forecasting methods: A review
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ML algorithms are extensively used for forecasting in energy subdomains.
“ML algorithms are extensively used for forecasting in these subdomains (Olowu et al., 2018; Sobri et al., 2018; Youssef et al., 2017)”
From Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020) · cites this paper as Sobri et al., 2018
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A hybrid short-term solar power forecasting tool
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Ahmed, R., Sreeram, V., Mishra, Y., & Arif, M. D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109792 · Cited by 1,259 · see citing works
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
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Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment
Khan, M. A., Saleh, A. M., Waseem, M., & Sajjad, I. A. (2023) · IEEE Access · doi:10.1109/access.2022.3231444 · Cited by 179 · see citing works
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Heo, S., Byun, J., Ifaei, P., Ko, J., Ha, B., Hwangbo, S., & Yoo, C. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113933 · Cited by 31 · see citing works
- Authors
- Sobri, S., Koohi-Kamali, S., & Rahim, N. A.
- Affiliations
- University of Malaya (MY)
- King Abdulaziz University (SA)
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 156
- Pages
- 459-497
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W2773629498
- Cited by
- 990
- References
- 118
- Citations by year
- 2026: 97 · 2025: 116 · 2024: 144 · 2023: 128 · 2022: 139 · 2021: 178 · 2020: 101 · 2019: 65 · 2018: 22
- FWCI
- 30.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy Conversion and Management (publishedVersion)
- Funders
- University of Malaya (UMPEDAC-2016)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Solar Radiation and Photovoltaics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
- Keywords
- solar photovoltaic power forecasting, artificial intelligence forecasting, grid integration of solar power, power system planning
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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