A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Underestimated impact of the COVID-19 on carbon emission reduction in developing countries–a novel assessment based on scenario analysis
Existing studies on the impact of the COVID-19 pandemic on carbon emissions are mainly
based on inter-annual change rate of carbon emissions. This study provided a new way to …
based on inter-annual change rate of carbon emissions. This study provided a new way to …
An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Accurate prediction of wind speed is of great significance to the stable operation of wind
power equipment. In this study, a hybrid deep learning model based on convolutional neural …
power equipment. In this study, a hybrid deep learning model based on convolutional neural …
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Recently, the boom in wind power industry has called for the accurate and stable wind
speed forecasting, on which reliable wind power generation systems depend heavily. Due to …
speed forecasting, on which reliable wind power generation systems depend heavily. Due to …
Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
L Hua, C Zhang, T Peng, C Ji, MS Nazir - Energy Conversion and …, 2022 - Elsevier
Wind energy plays an important role in terms of renewable energy. Accurate and reliable
wind speed prediction is essential for effective use of wind energy. However, the uncertainty …
wind speed prediction is essential for effective use of wind energy. However, the uncertainty …
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …
operations due to its strong randomness and volatility. These issues can be resolved via …
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Z Liu, P Jiang, J Wang, L Zhang - Expert Systems with Applications, 2021 - Elsevier
Wind energy has attracted considerable attention in the past decades as a low-carbon,
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
H Liu, X Mi, Y Li - Energy conversion and management, 2018 - Elsevier
The wind speed forecasting plays an important role in the planning, controlling and
monitoring of the intelligent wind power systems. Since the wind speed signal is stochastic …
monitoring of the intelligent wind power systems. Since the wind speed signal is stochastic …
Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
As an essential issue in wind energy industry, wind speed forecasting plays a vital role in
optimal scheduling and control of wind energy generation and conversion. In this paper, a …
optimal scheduling and control of wind energy generation and conversion. In this paper, a …