Title

A dual-attention mechanism LSTM model for power output forecasting of high-penetration photovoltaic systems

Journal title

Opto-Electronics Review

Yearbook

2026

Volume

34

Issue

2

Authors

Ma, Lijun ; Shi, Hongru ; Liu, Guohai ; Lu, Weiping ; Gu, Na

Affiliation

Ma, Lijun : School of Electrical and Energy Engineering, Nantong Institute of Technology, Nantong 226002, China ; Ma, Lijun : Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan 26600, Pahang, Malaysia ; Shi, Hongru : School of Electrical and Energy Engineering, Nantong Institute of Technology, Nantong 226002, China ; Liu, Guohai : School of Electrical and Energy Engineering, Nantong Institute of Technology, Nantong 226002, China ; Liu, Guohai : School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China ; Lu, Weiping : School of Electrical and Energy Engineering, Nantong Institute of Technology, Nantong 226002, China ; Gu, Na : School of Electrical and Energy Engineering, Nantong Institute of Technology, Nantong 226002, China

Keywords

high penetration ; time-series prediction ; photovoltaic power forecasting ; dual attention ; LSTM

Divisions of PAS

Nauki Techniczne

Coverage

e158739

Publisher

Polish Academy of Sciences (under the auspices of the Committee on Electronics and Telecommunication) and Association of Polish Electrical Engineers in cooperation with Military University of Technology

Date

21.05.2026

Type

Article

Identifier

DOI: 10.24425/opelre.2026.158739

Abstracting & Indexing

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