Norman, J. and Maycock, A.C. orcid.org/0000-0002-6614-1127 (2025) Skilful seasonal forecasts of wind energy generation in India during the western summer monsoon. Environmental Research Letters, 20 (4). 044036. ISSN 1748-9326
Abstract
India's ambitious climate goals include a significant role for wind energy, with plans for a nearly threefold expansion of the existing wind fleet within the next decade. At greater levels of wind deployment, the increased likelihood of extended periods of generation surplus and deficit presents a challenge for managing power supply. It is essential to characterise and predict how this energy source performs within India's monsoon climate to ensure the reliable operation of the electricity system. This study demonstrates, for the first time, how large-scale atmospheric variables are related to seasonal wind energy generation anomalies in India during boreal summer. Furthermore, an operational seasonal forecasting system is shown to skilfully predict the atmospheric predictor variables at a lead time of 1–4 months, indicating an ability to forecast summer wind energy generation at the country and regional level in India. The explanatory power of the chosen atmospheric predictor variables remains high under the near-term planned expansion of the Indian wind fleet. These findings demonstrate the potential utility of seasonal forecast information for electricity system management in India.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | wind energy, India, seasonal prediction, energy forecasting, Indian summer monsoon |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Funding Information: | Funder Grant number EU - European Union 820829 Leverhulme Trust PLP-2018-278 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Mar 2025 15:32 |
Last Modified: | 08 May 2025 14:29 |
Status: | Published |
Publisher: | IOP Publishing |
Identification Number: | 10.1088/1748-9326/adc1e2 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224629 |
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