Cited by 990Solar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization Techniques

Solar photovoltaic generation forecasting methods: A review

Sobri, Sobrina, Koohi-Kamali, Sam, Rahim, Nasrudin Abd.·2018·Energy Conversion and Management

Integrity signals

Registry

Crossref · 10.1016/j.enconman.2017.11.019

Cites

118 of 118 references verified0 citation errors · 0 not checkable

Statistics

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Cites

1 retracted

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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.

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