Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting

MAA Al-qaness, AA Ewees, H Fan, L Abualigah… - Applied Energy, 2022 - Elsevier
There are several major available renewable energies, such as wind power which can be
considered one of the most potential energy resources. Thus, wind power is a vital green …

HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting

AA Ewees, MAA Al-qaness, L Abualigah… - Energy Conversion and …, 2022 - Elsevier
The forecasting and estimation of wind power is a challenging problem in renewable energy
generation due to the high volatility of wind power resources, inevitable intermittency, and …

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

MHDM Ribeiro, RG da Silva, SR Moreno… - International Journal of …, 2022 - Elsevier
The use of wind energy plays a vital role in society owing to its economic and environmental
importance. Knowing the wind power generation within a specific time window is useful for …

[HTML][HTML] Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

Y Chen, S Yu, S Islam, CP Lim, SM Muyeen - Energy Reports, 2022 - Elsevier
Recently, numerous forecasting models have been reported in the wind power forecasting
field, aiming for reliable integration of renewable energy into the electric grid. Decomposition …

Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors

P Piotrowski, I Rutyna, D Baczyński, M Kopyt - Energies, 2022 - mdpi.com
Power generation forecasts for wind farms, especially with a short-term horizon, have been
extensively researched due to the growing share of wind farms in total power generation …

Adaptive forecasting of wind power based on selective ensemble of offline global and online local learning

H Jin, Y Li, B Wang, B Yang, H Jin, Y Cao - Energy Conversion and …, 2022 - Elsevier
Wind power has become an important part of clean energy. Reliable wind power forecasting
is the key to performing optimal scheduling of wind energy. However, it is challenging to …

[HTML][HTML] Daily streamflow forecasting based on the hybrid particle swarm optimization and long short-term memory model in the Orontes Basin

HC Kilinc - Water, 2022 - mdpi.com
Water, a renewable but limited resource, is vital for all living creatures. Increasing demand
makes the sustainability of water resources crucial. River flow management, one of the key …

Wind power prediction based on outlier correction, ensemble reinforcement learning, and residual correction

S Yin, H Liu - Energy, 2022 - Elsevier
Wind power prediction contributes to clean energy utilization and grid dispatching. In this
study, a wind power prediction model based on outlier correction, ensemble reinforcement …

[HTML][HTML] Data-driven cooperative trading framework for a risk-constrained wind integrated power system considering market uncertainties

R Zhang, G Li, S Bu, S Aziz, R Qureshi - International Journal of Electrical …, 2023 - Elsevier
As wind power continues to integrate into modern power systems, the bidding strategies of
wind power producers are becoming more important than ever. However, the current trading …

Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization

Z Shang, Z He, Y Chen, Y Chen, ML Xu - Energy, 2022 - Elsevier
Wind energy has attracted much attention because it is sustainable and renewable energy
with a much smaller impact on the environment than fossil fuels. Accurate wind speed …