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Machine learning for solar irradiance forecasting of photovoltaic system
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“To date, many ML methods have been used to forecast electricity supply and demand.”
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Metadata
- Authors
- Li, J., Ward, J. K., Tong, J., Collins, L., & Platt, G.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Li, Jiaming
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 90
- Pages
- 542-553
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2287933588
- Cited by
- 186
- References
- 31
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 28 · 2023: 27 · 2022: 24 · 2021: 25 · 2020: 13 · 2019: 12 · 2018: 14 · 2017: 10 · 2016: 3
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Australian Renewable Energy Agency
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › 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 irradiance forecasting, photovoltaic systems, short-term forecasting, hidden Markov models, support vector regression, distributed generation, forecast performance comparison
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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