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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