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 …
A survey on Hilbert-Huang transform: Evolution, challenges and solutions
Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …
techniques such as Fourier Transform constitute an important progress in data analysis, but …
A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
J Song, J Wang, H Lu - Applied energy, 2018 - Elsevier
Short-term wind speed forecasting has a significant influence on enhancing the operation
efficiency and increasing the economic benefits of wind power generation systems. A …
efficiency and increasing the economic benefits of wind power generation systems. A …
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
X Niu, J Wang - Applied Energy, 2019 - Elsevier
Short-term wind speed forecasting plays an important role in wind power generation and
considerably contributes to decisions regarding control and operations. In order to improve …
considerably contributes to decisions regarding control and operations. In order to improve …
Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting
Z Liu, R Hara, H Kita - Energy Conversion and Management, 2021 - Elsevier
Wind speed forecasting is essential for the dispatch, controllability, and stability of power
grids, and its accuracy is vital to the effective use of wind resources. In this study, a novel …
grids, and its accuracy is vital to the effective use of wind resources. In this study, a novel …
Wind speed interval prediction based on multidimensional time series of Convolutional Neural Networks
J Wang, Z Li - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Wind power, as an economical and clean energy source, has rapidly infiltrated into modern
power grids. Wind speed prediction is a pivotal technology for wind power integration, which …
power grids. Wind speed prediction is a pivotal technology for wind power integration, which …
Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line
The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …
transmission network. A transmission line is the main part of this network through which …
Detection and classification of multiple power quality disturbances in Microgrid network using probabilistic based intelligent classifier
Microgrid (MG) networks have evolved as reliable power source for providing secure,
reliable, and low carbon emission of energy supply to the remote communities. Power …
reliable, and low carbon emission of energy supply to the remote communities. Power …
Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
Estimating the wind speed correctly and reliably plays a key role in managing and operating
wind energy power systems. Therefore an novelty adaptive estimation model (NAEM) …
wind energy power systems. Therefore an novelty adaptive estimation model (NAEM) …
Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China
J Wang, H Li, H Lu - Applied Soft Computing, 2018 - Elsevier
With atmospheric environmental pollution becoming increasingly serious, develo** an
early warning system for air quality forecasting is vital to monitoring and controlling air …
early warning system for air quality forecasting is vital to monitoring and controlling air …