A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
J Xiong, T Peng, Z Tao, C Zhang, S Song, MS Nazir - Energy, 2023 - Elsevier
Accurate wind power forecast is critical to the efficient and safe running of power systems. A
hybrid model that combines complementary ensemble empirical mode decomposition …
hybrid model that combines complementary ensemble empirical mode decomposition …
Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization …
L Suo, T Peng, S Song, C Zhang, Y Wang, Y Fu… - Energy, 2023 - Elsevier
Accurate prediction of wind speed plays a very important role in the stable operation of wind
power plants. In this study, the goal is to establish a hybrid wind speed prediction model …
power plants. In this study, the goal is to establish a hybrid wind speed prediction model …
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
S Sun, Z Du, K Jin, H Li, S Wang - Applied Energy, 2023 - Elsevier
Accurate ultra-short-term wind power forecasting is a prerequisite for decision making
related to the management of power systems. Existing approaches used to forecast wind …
related to the management of power systems. Existing approaches used to forecast wind …
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
T Gao, D Niu, Z Ji, L Sun - Energy, 2022 - Elsevier
Mid-term electricity demand forecasting plays an important role in ensuring the operational
safety of the power system and the economic efficiency of grid companies. Most studies …
safety of the power system and the economic efficiency of grid companies. Most studies …
Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
I Karijadi, SY Chou, A Dewabharata - Renewable Energy, 2023 - Elsevier
A precise wind power forecast is required for the renewable energy platform to function
effectively. By having a precise wind power forecast, the power system can better manage its …
effectively. By having a precise wind power forecast, the power system can better manage its …
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Y Li, T Peng, L Hua, C Ji, H Ma, MS Nazir… - Sustainable Cities and …, 2022 - Elsevier
Accurate forecast of air quality index (AQI) can provide reliable guarantee for air quality early
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
A Meng, H Zhang, H Yin, Z Xian, S Chen, Z Zhu… - Energy, 2023 - Elsevier
Due to the lack of historical data, accurate prediction is a great challenge for newly
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
S Wang, J Shi, W Yang, Q Yin - Energy, 2024 - Elsevier
An accurate and reliable wind power prediction model has important significance for the
operation of power systems and large-scale grid connection. This paper proposes a hybrid …
operation of power systems and large-scale grid connection. This paper proposes a hybrid …
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Y Zhang, Y Chen, Z Qi, S Wang, J Zhang… - Energy Conversion and …, 2022 - Elsevier
Accurate wind speed prediction can relieve the pressure of peak regulation and frequency
modulation of the power system and improve the acceptance capacity of wind power. In …
modulation of the power system and improve the acceptance capacity of wind power. In …