Wind farms and flexible loads contribution in automatic generation control: an extensive review and simulation
With the increasing integration of wind energy sources into conventional power systems, the
demand for reserve power has risen due to associated forecasting errors. Consequently …
demand for reserve power has risen due to associated forecasting errors. Consequently …
A comprehensive review of recent maximum power point tracking techniques for photovoltaic systems under partial shading
To operate photovoltaic (PV) systems efficiently, the maximum available power should
always be extracted. However, due to rapidly varying environmental conditions such as …
always be extracted. However, due to rapidly varying environmental conditions such as …
[HTML][HTML] Analyzing the factors influencing the wind energy adoption in Bangladesh: A pathway to sustainability for emerging economies
The future of energy security has become a prominent concern for emerging economies due
to the inevitable depletion of fossil fuels and the ongoing disruptions in their supply. The …
to the inevitable depletion of fossil fuels and the ongoing disruptions in their supply. The …
Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems
In recent years, hybrid Solar-Wind energy system has emerged as a viable solution to
achieve sustainable energy generation and alleviate the burden on the power grid …
achieve sustainable energy generation and alleviate the burden on the power grid …
Forecasting hydrogen production from wind energy in a suburban environment using machine learning
The environment is seriously threatened by the rising energy demand and the use of
conventional energy sources. Renewable energy sources including hydro, solar, and wind …
conventional energy sources. Renewable energy sources including hydro, solar, and wind …
Evaluating a hybrid circuit topology for fault-ride through in DFIG-based wind turbines
Large-scale wind power integration has raised concerns about the reliability and stability of
power systems. The rotor circuit of a doubly fed induction generator (DFIG) is highly …
power systems. The rotor circuit of a doubly fed induction generator (DFIG) is highly …
Evaluation of machine learning models for smart grid parameters: performance analysis of ARIMA and Bi-LSTM
Y Chen, MS Bhutta, M Abubakar, D Xiao… - Sustainability, 2023 - mdpi.com
The integration of renewable energy resources into smart grids has become increasingly
important to address the challenges of managing and forecasting energy production in the …
important to address the challenges of managing and forecasting energy production in the …
A review of load frequency control schemes deployed for wind-integrated power systems
Load frequency control (LFC) has recently gained importance due to the increasing
integration of wind energy in contemporary power systems. Hence, several power system …
integration of wind energy in contemporary power systems. Hence, several power system …
Comparative analysis of eight numerical methods using Weibull distribution to estimate wind power density for coastal areas in Pakistan
Currently, Pakistan is facing severe energy crises and global warming effects. Hence, there
is an urgent need to utilize renewable energy generation. In this context, Pakistan …
is an urgent need to utilize renewable energy generation. In this context, Pakistan …
Enhancing Power Generation Forecasting in Smart Grids using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model.
A Zafar, Y Che, M Ahmed, M Sarfraz, A Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
This study explores the implementation of advanced machine learning techniques to
enhance the integration of renewable energy into smart grids, focusing specifically on …
enhance the integration of renewable energy into smart grids, focusing specifically on …