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 …

Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

S Rai, M De - International Journal of Sustainable Energy, 2021 - Taylor & Francis
The evolution of advanced metering infrastructure (AMI) has increased the electricity
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

H Malik, AK Yadav - Sustainable Energy Technologies and Assessments, 2021 - Elsevier
Wind speed (WS) prediction has become popular nowadays due to increasing demand for
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

H Malik, AK Yadav, FPG Márquez… - Energy Strategy …, 2022 - Elsevier
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 …

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 …

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 …

Wind speed estimation based on a novel multivariate Weibull distribution

OM Salim, HT Dorrah… - IET Renewable Power …, 2019 - Wiley Online Library
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 …

Type-2 fuzzy logic pitch controller for wind turbine rotor blades

OM Salim, MA Zohdy… - Proceedings of the …, 2011 - ieeexplore.ieee.org
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; …

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 …

A generalized cascaded approach to estimate missing wind data using multivariate weibull distribution network

OM Salim, HT Dorrah… - 2020 12th International …, 2020 - ieeexplore.ieee.org
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 …