Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm
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 …
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
Facing the increasing depletion of traditional energy resources and the worsening
environmental issues, wind energy sources have been widely considered. As an essential …
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 …
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 …
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 …
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 …
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
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 …
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
Wind-speed forecasting is pivotal for optimizing resource utilization and promoting
sustainable development. Previous studies have predominantly focused on point and …
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 …
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
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 …
prediction results cause uncertainty in wind power prediction and cannot be solved …
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