A review of wind speed and wind power forecasting with deep neural networks
The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …
has attracted increasing attention. However, intermittent electricity generation resulting from …
Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues
Due to urbanization and the rapid growth of population, carbon emission is increasing,
which leads to climate change and global warming. With an increased level of fossil fuel …
which leads to climate change and global warming. With an increased level of fossil fuel …
[HTML][HTML] Distributed energy systems: A review of classification, technologies, applications, and policies
The sustainable energy transition taking place in the 21st century requires a major
revam** of the energy sector. Improvements are required not only in terms of the …
revam** of the energy sector. Improvements are required not only in terms of the …
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 …
Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management
The role of smart technologies can become very important and useful to solve the main
population issues nowadays and provide foundations for a sustainable future. A smart …
population issues nowadays and provide foundations for a sustainable future. A smart …
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
Carbon emission from the burning of fossil fuel has resulted in global warming. Climate
change and global warming are among the most complex issues requiring immediate …
change and global warming are among the most complex issues requiring immediate …
Taxonomy research of artificial intelligence for deterministic solar power forecasting
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …
stochastic and volatile nature of solar power pose significant challenges to the reliable …
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network
J Duan, P Wang, W Ma, X Tian, S Fang, Y Cheng… - Energy, 2021 - Elsevier
Nowadays, various wind power forecasting methods have been developed to improve wind
power utilization. Most of these techniques are designed based on the mean square error …
power utilization. Most of these techniques are designed based on the mean square error …
A survey of machine learning models in renewable energy predictions
The use of renewable energy to reduce the effects of climate change and global warming
has become an increasing trend. In order to improve the prediction ability of renewable …
has become an increasing trend. In order to improve the prediction ability of renewable …
Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting
Due to global warming and climate changes, buildings including residential and commercial
are significant contributors to energy consumption. To this end, net zero energy building …
are significant contributors to energy consumption. To this end, net zero energy building …