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Adaptive backstep** controller design for DC/DC buck converter optimised by grey wolf algorithm
SM Ghamari, F Khavari… - IET Energy Systems …, 2024 - Wiley Online Library
Abstract A Lypunov‐based Adaptive Backstep** Control (ABSC) approach is designed for
a power Buck converter. This strategy is an advanced version of the Backstep** method …
a power Buck converter. This strategy is an advanced version of the Backstep** method …
Renewable energy system for industrial internet of things model using fusion-AI
The globe consumes a lot of energy in numerous forms, such as electricity and mechanical
energy. Many researchers have sought to create power from renewable energy sources …
energy. Many researchers have sought to create power from renewable energy sources …
A novel intelligent control approach for wind energy conversion systems with synchronous reluctance generators
This study addresses a significant research gap in the field of wind energy, focusing on the
underutilized potential of synchronous reluctance generators (SynRG) in wind power …
underutilized potential of synchronous reluctance generators (SynRG) in wind power …
RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
NK Rai, D Saravanan, L Kumar, P Shukla… - Applications of AI and IOT …, 2022 - Elsevier
The benefits of energy, economics, and greenhouse gas emission reduction have interested
consumers towards photovoltaic system-based energy generation. The fluctuating nature of …
consumers towards photovoltaic system-based energy generation. The fluctuating nature of …
IoT in renewable energy generation for conservation of energy using artificial intelligence
Internet of things (IoT) consists of many devices interconnected virtually over remotely
different technologies and devices over the Internet. The identification and collection of the …
different technologies and devices over the Internet. The identification and collection of the …
Sensitivity and performance analysis of 10 MW solar power plant using MPPT technique
MF Ansari, A Afzal - International Conference on Electrical and Electronics …, 2022 - Springer
Renewable energy had drawn a lot of attention for researchers, technocrats and industry for
sustainable development of nation and also drawn vide attention globally. Specially solar …
sustainable development of nation and also drawn vide attention globally. Specially solar …
Design and performance analysis of optimized fractional order PID controller for magnetic levitation system
S Dey, S Banerjee, J Dey - 2021 IEEE 4th International …, 2021 - ieeexplore.ieee.org
Incorporation of fractional order calculus in conventional integer order control system design
algorithm, makes the existing control system more efficient & robust. Fractional order PID …
algorithm, makes the existing control system more efficient & robust. Fractional order PID …
Wind energy system using self excited induction generator with hybrid facts device for load voltage control
V Yarlagadda, GA Karthika, G Ambati… - … Conference on Electrical …, 2022 - Springer
Abstract The Modern Power systems are incorporated with renewable energy generation
resources such as solar and wind power plants. The everlastingDemand for electrical power …
resources such as solar and wind power plants. The everlastingDemand for electrical power …
Machine learning models for the electrical power generation by savonius vertical axis wind turbine
This study evaluates the accuracy of feed-forward neural network (FFNN), cascade feed-
forward neural network (CFNN), generalized regression neural network (GRNN), layer …
forward neural network (CFNN), generalized regression neural network (GRNN), layer …
An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
The desire to rely on more renewable power is increased with global environmental change,
nuclear power risks, electricity grid losses, and rising energy costs. Most people nowadays …
nuclear power risks, electricity grid losses, and rising energy costs. Most people nowadays …