The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
Application of support vector machine models for forecasting solar and wind energy resources: A review
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …
research has proved that renewable energy sources, especially solar and wind, can be …
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
A novel genetic LSTM model for wind power forecast
Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …
power-driven grids which may disrupt the balance between electricity demand and its …
Privacy-preserving traffic flow prediction: A federated learning approach
Existing traffic flow forecasting approaches by deep learning models achieve excellent
success based on a large volume of data sets gathered by governments and organizations …
success based on a large volume of data sets gathered by governments and organizations …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
SN Singh, A Mohapatra - Renewable energy, 2019 - Elsevier
With increased integration of wind energy systems, an accurate wind speed forecasting
technique is a must for the reliable and secure operation of the power network. Statistical …
technique is a must for the reliable and secure operation of the power network. Statistical …
Short-term nacelle orientation forecasting using bilinear transformation and ICEEMDAN framework
H Li, J Deng, P Feng, C Pu, DDK Arachchige… - Frontiers in Energy …, 2021 - frontiersin.org
To maximize energy extraction, the nacelle of a wind turbine follows the wind direction.
Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to …
Accurate prediction of wind direction is vital for yaw control. A tandem hybrid approach to …
Load forecasting techniques for power system: Research challenges and survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …
think tank of power sectors should forecast the future need of electricity with large accuracy …
A model combining convolutional neural network and LightGBM algorithm for ultra-short-term wind power forecasting
Y Ju, G Sun, Q Chen, M Zhang, H Zhu… - Ieee …, 2019 - ieeexplore.ieee.org
The volatility and uncertainty of wind power often affect the quality of electric energy, the
security of the power grid, the stability of the power system, and the fluctuation of the power …
security of the power grid, the stability of the power system, and the fluctuation of the power …