Day-Ahead PV Power Forecasting Based on MSTL-TFT

• URL: http://arxiv.org/abs/2301.05911v1
• Date: Sat, 14 Jan 2023 12:51:10 GMT
• Title: Day-Ahead PV Power Forecasting Based on MSTL-TFT
• Authors: Xuetao Jiang and Meiyu Jiang and Qingguo Zhou
• Abstract summary: We propose a MSTL-TFT method for day-ahead PV forecasting. The results are better than any of the other studies we have surveyed on day-ahead DKASC PV forecasting.
• Score: 0.4511923587827301
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Energy demand is increasing dramatically as global urbanization progresses.Solar energy is a clean energy source with low production and maintenance costs.Accurately predicted PV generation is of great importance for grid integration.Recent day-ahead PV forecasting studies mainly include generation data decomposition, additional meteorological and equipment features, improvement and integration of ANN-based models.We proposed a MSTL-TFT method for day-ahead PV forecasting. The results are better than any of the other studies we have surveyed on day-ahead DKASC PV forecasting.

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