Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
H Liu, H Tian, D Pan, Y Li - Applied Energy, 2013 - Elsevier
Wind speed forecasting is important for the security of wind power integration. Based on the
theories of wavelet, wavelet packet, time series analysis and artificial neural networks, three …
theories of wavelet, wavelet packet, time series analysis and artificial neural networks, three …
Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid
The evolution of advanced metering infrastructure (AMI) has increased the electricity
consumption data in real-time manifolds. Using this massive data, the load forecasting …
consumption data in real-time manifolds. Using this massive data, the load forecasting …
A novel hybrid approach based on relief algorithm and fuzzy reinforcement learning approach for predicting wind speed
Wind speed (WS) prediction has become popular nowadays due to increasing demand for
wind power generation and competitive development in wind energy. Many prediction …
wind power generation and competitive development in wind energy. Many prediction …
Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India
Wind power generated by wind has non-schedule nature due to stochastic nature of
meteorological variable. Hence energy business and control of wind power generation …
meteorological variable. Hence energy business and control of wind power generation …
A critical review of research trends for wind energy in Egypt: recent progress and promising opportunities
M Moness, AM Moustafa - International Journal of Energy …, 2019 - inderscienceonline.com
Energy is a cornerstone for achieving industrial development and prosperous economy.
Wind energy has the biggest share of renewable energy sector in many countries leading …
Wind energy has the biggest share of renewable energy sector in many countries leading …
Synergies of Wind Turbine control techniques
A Bertašienė, B Azzopardi - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
During the next decades, the market for Small-Scale Wind Turbines (SSWT) is expected to
grow, due to a shift in micro-generation and current trends in distributed energy resources …
grow, due to a shift in micro-generation and current trends in distributed energy resources …
Wind speed estimation based on a novel multivariate Weibull distribution
Good practice in smart grids is networked sensors topologies which give the ability to fuse
sensors to obtain a new feature based on sensors' complementarity. Moreover, to get a …
sensors to obtain a new feature based on sensors' complementarity. Moreover, to get a …
Type-2 fuzzy logic pitch controller for wind turbine rotor blades
Wind energy contribution as a new source of green energy in electric utility systems around
the world is on fast increase. One of the major challenges is its natural intermittency; …
the world is on fast increase. One of the major challenges is its natural intermittency; …
Real-time free form contour error estimation based on fuzzy logic estimator
OM Salim, MA Abdallah… - 2021 22nd International …, 2021 - ieeexplore.ieee.org
In most of machine control and automation problems, there are two or more axes of motion
which must be coordinated. Axes synchronization is a crucial task in modern machinery for …
which must be coordinated. Axes synchronization is a crucial task in modern machinery for …
A generalized cascaded approach to estimate missing wind data using multivariate weibull distribution network
Networked sensors in smart grids allow techniques like sensor fusion including: sensor
similarities, as well as, sensor complementarities to be integrated to obtain new information …
similarities, as well as, sensor complementarities to be integrated to obtain new information …