Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm

P Sun, Z Liu, J Wang, W Zhao - Applied Soft Computing, 2024 - Elsevier
Abstract 1 Short-term wind speed prediction is critical for enhancing the efficiency of wind
power systems and assuring the stability and continuity of power generation and the host …

Research of a novel short-term wind forecasting system based on multi-objective Aquila optimizer for point and interval forecast

Q Xing, J Wang, H Lu, S Wang - Energy Conversion and Management, 2022 - Elsevier
Facing the increasing depletion of traditional energy resources and the worsening
environmental issues, wind energy sources have been widely considered. As an essential …

A novel combined forecasting system based on advanced optimization algorithm-A study on optimal interval prediction of wind speed

J Li, J Wang, Z Li - Energy, 2023 - Elsevier
Wind speed forecasting is becoming increasingly crucial for an environmentally friendly and
sustainable economy because of the renewability and benefits of wind energy. Currently …

A wind speed interval prediction system based on multi-objective optimization for machine learning method

R Li, Y Jin - Applied energy, 2018 - Elsevier
Accurate forecast of wind speed is the first prerequisite to supply high quality power energy
to customer in a secure and economic manner. However, traditional point forecast may not …

Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization

J Wang, Z Cheng - Applied Soft Computing, 2021 - Elsevier
As a potential new energy power generation technology, wind power is gradually
developing into the world's mainstream energy. In the research on wind power generation …

Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile …

J Wang, S Wang, Z Li - Renewable Energy, 2021 - Elsevier
As a renewable, clean and economical energy source, wind energy has rapidly infiltrated
into the modern power grid system. Wind speed forecasting, the crucial technology of wind …

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

P Jiang, Z Liu, X Niu, L Zhang - Energy, 2021 - Elsevier
Wind speed forecasting is gaining importance as the share of wind energy in electricity
systems increases. Numerous forecasting approaches have been used to predict wind …

A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system

Y Hao, X Wang, J Wang, W Yang - Energy Conversion and Management, 2024 - Elsevier
Wind-speed forecasting is pivotal for optimizing resource utilization and promoting
sustainable development. Previous studies have predominantly focused on point and …

Research on hybrid wind speed prediction system based on artificial intelligence and double prediction scheme

Y Nie, H Bo, W Zhang, H Zhang - Complexity, 2020 - Wiley Online Library
Wind energy analysis and wind speed modeling have a significant impact on wind power
generation systems and have attracted significant attention from many researchers in recent …

[HTML][HTML] A novel multi-objective optimal approach for wind power interval prediction

M Hu, Z Hu, J Yue, M Zhang, M Hu - Energies, 2017 - mdpi.com
Numerous studies on wind power forecasting show that random errors found in the
prediction results cause uncertainty in wind power prediction and cannot be solved …