Published: Nov. 22, 2024
Language: Английский
Published: Nov. 22, 2024
Language: Английский
Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 272, P. 126734 - 126734
Published: Feb. 6, 2025
Language: Английский
Citations
0Advanced Theory and Simulations, Journal Year: 2025, Volume and Issue: unknown
Published: March 8, 2025
Abstract Photovoltaic (PV) power generation is vital for sustainable energy development, yet its inherent randomness and volatility challenge grid stability. Accurate short‐term PV prediction essential reliable operation. This paper proposes an integrated method combining dynamic similar selection (DSS), variational mode decomposition (VMD), bidirectional gated recurrent unit (BiGRU), improved sparrow search algorithm (ISSA). First, DSS selects training data based on local meteorological similarity, reducing interference. VMD then decomposes into smooth components, mitigating volatility. The Pearson correlation coefficient used to filter highly relevant variables, enhancing input quality. BiGRU captures temporal evolution patterns, with ISSA optimizing key parameters robust forecasting. Validated historical Australian under diverse weather conditions, the proposed effectively reduces volatility, significantly improving accuracy reliability. These advancements support stable supply efficient
Language: Английский
Citations
0Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 333, P. 119819 - 119819
Published: April 23, 2025
Language: Английский
Citations
0Published: Nov. 22, 2024
Language: Английский
Citations
0