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University of Science and Technology of Hanoi
Reference37 articles.
1. CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production;Agga;Electr. Power Syst. Res.,2022
2. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization;Ahmed;Renew. Sustain. Energy Rev.,2020
3. Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques;Bondugula,2022
4. SVR-based model to forecast PV power generation under different weather conditions;Das;Energies,2017
5. Non-intrusive load monitoring method with inception structured CNN;Ding;Appl. Intell.,2022