A review of very short-term wind and solar power forecasting

R Tawn, J Browell - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Installed capacities of wind and solar power have grown rapidly over recent years, and the
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …

Energy forecasting: A review and outlook

T Hong, P Pinson, Y Wang, R Weron… - IEEE Open Access …, 2020 - ieeexplore.ieee.org
Forecasting has been an essential part of the power and energy industry. Researchers and
practitioners have contributed thousands of papers on forecasting electricity demand and …

Short-term wind power forecasting based on attention mechanism and deep learning

B **ong, L Lou, X Meng, X Wang, H Ma… - Electric Power Systems …, 2022 - Elsevier
Wind power forecasting is an important means to alleviate the pressure of peak and
frequency regulation in power systems and improve the acceptance capacity of wind power …

Short-term wind power prediction based on EEMD–LASSO–QRNN model

Y He, Y Wang - Applied soft computing, 2021 - Elsevier
With the increasing utilization of wind generation in power system, the improvement of wind
power forecasting precision is attached vital importance. Owing to the stochastic and …

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

J Chatterjee, N Dethlefs - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Wind energy has emerged as a highly promising source of renewable energy in recent
times. However, wind turbines regularly suffer from operational inconsistencies, leading to …

[HTML][HTML] Temporal collaborative attention for wind power forecasting

Y Hu, H Liu, S Wu, Y Zhao, Z Wang, X Liu - Applied Energy, 2024 - Elsevier
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …

Multi-source and temporal attention network for probabilistic wind power prediction

H Zhang, J Yan, Y Liu, Y Gao, S Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The temporal dependencies of wind power are significant to be involved in the modeling of
short-term wind power forecasts. However, different time series inputs will contribute …

An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations

L Buzna, P De Falco, G Ferruzzi, S Khormali, D Proto… - Applied Energy, 2021 - Elsevier
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …

A multi-scale spatial–temporal graph neural network-based method of multienergy load forecasting in integrated energy system

W Zhuang, J Fan, M **a, K Zhu - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
Accurately predicting multi-energy loads is essential for optimizing the dispatch and
economic operation of integrated energy systems (IES). However, existing multi-energy load …

[HTML][HTML] Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Z Li, R Xu, X Luo, X Cao, H Sun - Energy Reports, 2023 - Elsevier
Accurate prediction of short-term wind power plays an important role in the safe operation
and economic dispatch of the power grid. In response to the current single algorithm that …