{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T22:30:17Z","timestamp":1783809017597,"version":"3.55.0"},"reference-count":26,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,15]],"date-time":"2023-01-15T00:00:00Z","timestamp":1673740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of Hubei Province","award":["No. 2020CFB546"],"award-info":[{"award-number":["No. 2020CFB546"]}]},{"name":"Natural Science Foundation of Hubei Province","award":["12001411"],"award-info":[{"award-number":["12001411"]}]},{"name":"Natural Science Foundation of Hubei Province","award":["12201479"],"award-info":[{"award-number":["12201479"]}]},{"name":"Natural Science Foundation of Hubei Province","award":["WUT: 2021IVB024, 2020-IB-003"],"award-info":[{"award-number":["WUT: 2021IVB024, 2020-IB-003"]}]},{"name":"National Natural Science Foundation of China","award":["No. 2020CFB546"],"award-info":[{"award-number":["No. 2020CFB546"]}]},{"name":"National Natural Science Foundation of China","award":["12001411"],"award-info":[{"award-number":["12001411"]}]},{"name":"National Natural Science Foundation of China","award":["12201479"],"award-info":[{"award-number":["12201479"]}]},{"name":"National Natural Science Foundation of China","award":["WUT: 2021IVB024, 2020-IB-003"],"award-info":[{"award-number":["WUT: 2021IVB024, 2020-IB-003"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["No. 2020CFB546"],"award-info":[{"award-number":["No. 2020CFB546"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["12001411"],"award-info":[{"award-number":["12001411"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["12201479"],"award-info":[{"award-number":["12201479"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["WUT: 2021IVB024, 2020-IB-003"],"award-info":[{"award-number":["WUT: 2021IVB024, 2020-IB-003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Deep learning techniques excel at capturing and understanding the symmetry inherent in data patterns and non-linear properties of photovoltaic (PV) power, therefore they achieve excellent performance on short-term PV power forecasting. In order to produce more precise and detailed forecasting results, this research suggests a novel Autoformer model with De-Stationary Attention and Multi-Scale framework (ADAMS) for short-term PV power forecasting. In this approach, the multi-scale framework is applied to the Autoformer model to capture the inter-dependencies and specificities of each scale. Furthermore, the de-stationary attention is incorporated into an auto-correlation mechanism for more efficient non-stationary information extraction. Based on the operational data from a 1058.4 kW PV facility in Central Australia, the ADAMS model and the other six baseline models are compared with 5 min and 1 h temporal resolution PV power data predictions. The results show in terms of four performance measurements, the proposed method can handle the task of projecting short-term PV output more effectively than other methods. Taking the result of predicting the PV energy in the next 24 h based on the 1 h resolution data as an example, MSE is 0.280, MAE is 0.302, RMSE is 0.529, and adjusted R-squared is 0.824.<\/jats:p>","DOI":"10.3390\/sym15010238","type":"journal-article","created":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T03:10:34Z","timestamp":1673838634000},"page":"238","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Short-Term Photovoltaic Power Forecasting Based on a Novel Autoformer Model"],"prefix":"10.3390","volume":"15","author":[{"given":"Yuanshao","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Statistics, College of Science, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonghong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Science, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.rser.2017.09.094","article-title":"Solar energy: Potential and future prospects","volume":"82","author":"Kabir","year":"2018","journal-title":"Renew. 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