A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …
pollution. Growing load requirement, global warming, and energy crisis need energy …
Renewable revolution: A review of strategic flexibility in future power systems
S Shahzad, E Jasińska - Sustainability, 2024 - mdpi.com
The global shift toward integrating renewable energy sources, such as solar and wind
power, is revolutionizing the energy landscape, presenting both opportunities and …
power, is revolutionizing the energy landscape, presenting both opportunities and …
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Wind power has been utilized well in power systems, so steady and successful wind speed
forecasting is crucial to security management power grid market economy. To date, most …
forecasting is crucial to security management power grid market economy. To date, most …
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Accurate typhoon wind speed prediction is significant because it enables wind farms to take
advantage of high wind speeds and to simultaneously protect wind turbines from damage …
advantage of high wind speeds and to simultaneously protect wind turbines from damage …
Deep learning based ensemble approach for probabilistic wind power forecasting
Due to the economic and environmental benefits, wind power is becoming one of the more
promising supplements for electric power generation. However, the uncertainty exhibited in …
promising supplements for electric power generation. However, the uncertainty exhibited in …
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
H Liu, X Mi, Y Li - Energy Conversion and Management, 2018 - Elsevier
Accurate and robust wind speed forecasting is essential for the planning, scheduling and
maintenance of wind power. In this study, a novel wind speed multistep prediction model is …
maintenance of wind power. In this study, a novel wind speed multistep prediction model is …
Short-term wind speed prediction model based on GA-ANN improved by VMD
Y Zhang, G Pan, B Chen, J Han, Y Zhao, C Zhang - Renewable energy, 2020 - Elsevier
Wind power, as a potential new energy generation technology, is gradually developing
towards to the mainstream energy in the world. However, the inherent random volatility of …
towards to the mainstream energy in the world. However, the inherent random volatility of …
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Z Qian, Y Pei, H Zareipour, N Chen - Applied energy, 2019 - Elsevier
With the continuous growth of wind power integration into the electrical grid, accurate wind
power forecasting is an important component in management and operation of power …
power forecasting is an important component in management and operation of power …
Deep belief network based deterministic and probabilistic wind speed forecasting approach
With the rapid growth of wind power penetration into modern power grids, wind speed
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
Y Zhang, B Chen, G Pan, Y Zhao - Energy Conversion and Management, 2019 - Elsevier
Accurate short-term wind power forecasting is significant for rational dispatching of the
power grid and ensuring the power supply quality. In order to enhance the accuracy of short …
power grid and ensuring the power supply quality. In order to enhance the accuracy of short …