PHOTOVOLTAIC POWER PREDICTION BASED ON DUAL-LAYER DECOMPOSITION AND IMPROVED MULTI-OBJECTIVE COATI OPTIMIZATION ALGORITHM USING BiLSTM

Tang Xiaole; Kang Yanting; Lu Hao

doi:10.19912/j.0254-0096.tynxb.2024-1931

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 635-643. DOI: 10.19912/j.0254-0096.tynxb.2024-1931

PHOTOVOLTAIC POWER PREDICTION BASED ON DUAL-LAYER DECOMPOSITION AND IMPROVED MULTI-OBJECTIVE COATI OPTIMIZATION ALGORITHM USING BiLSTM

Tang Xiaole¹, Kang Yanting², Lu Hao^1-3

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Abstract

To improve the accuracy and stability of ultra-short-term photovoltaic （PV） power prediction, the BiLSTM model based on dual-layer decomposition and an improved multi-objective coati optimization algorithm （AMOCOA） is proposed. The dual-layer decomposition combines improved complete ensemble empirical mode decomposition with adaptive noise （ICEEMDAN） and variational mode decomposition （VMD） to fully extract information from high-frequency signals. AMOCOA enhances algorithm convergence and diversity by introducing an adaptive region search strategy and polynomial mutation operator. First, ICEEMDAN is used to decompose the historical PV power series into multiple components, and the high-frequency components are further decomposed using VMD to extract periodic components. Then, AMOCOA is applied to optimize the BiLSTM parameters, building the optimal AMOCOA-BiLSTM model for each subseries. Finally, the subseries are reconstructed to obtain the final prediction results. The experimental results show that, under cloudy weather scenarios, compared to the BiLSTM, the root-mean-square error of the proposed model decreased by 51.56%, the average absolute error decreased by 68.75%, and the stability index decreased by 50.74%, showing better prediction accuracy and stability.

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multiobjective optimization / photovoltaic power / prediction models / coati optimization algorithm / dual-layer decomposition

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Tang Xiaole, Kang Yanting, Lu Hao. PHOTOVOLTAIC POWER PREDICTION BASED ON DUAL-LAYER DECOMPOSITION AND IMPROVED MULTI-OBJECTIVE COATI OPTIMIZATION ALGORITHM USING BiLSTM[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 635-643 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1931

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