Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

K Rajesh - Circuit World, 2023 - emerald.com
Purpose The main purpose of this controller is to carryout irrigation by the farmers with
renewable energy resources. Design/methodology/approach The proposed design includes …

Power management controller for microgrid integration of hybrid PV/fuel cell system based on artificial deep neural network

AAM Nureddin, J Rahebi… - International Journal of …, 2020 - Wiley Online Library
Nowadays, the power demand is increasing day by day due to the growth of the population
and industries. The conventional power plant alone is incompetent to meet the consumer …

Raspberry Pi-embedded intelligent control system for irrigation and fertilization based on deep learning

W Jia, Z Wei - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
More than two-thirds of freshwater consumed worldwide are used for irrigation, and the
existing control system for irrigation and fertilization is not intelligent and efficient enough. It …

Artificial neural network based intelligent controller design for grid-tied inverters of microgrid under load variation and disturbance

LM Kandasamy, J Kanakaraj… - 2021 4th International …, 2021 - ieeexplore.ieee.org
The exponential use of Distributed Generation (DG) resources such as solar, wind, and
other renewable energy sources is owing to global climate change and an increase in …

Design Power Controller for Smart Grid System Based on Internet of Things Devices and Artificial Neural Network

MRA Cahyono - … IEEE International Conference on Internet of …, 2021 - ieeexplore.ieee.org
The smart grid system is an electrical infrastructure that enables consumers to sell and
purchase electricity. In this paper, the smart grid model has been built with an electricity …

[PDF][PDF] Energy management system and supervision in a micro-grid using artificial neural network technique

E Jarmouni, A Mouhsen, M Lamhammedi… - International Journal of …, 2021 - academia.edu
Nowadays, the combination of conventional and renewable energy sources such as solar
energy is one of the most widespread solutions to surmount the challenge of the climate and …

Active power management in an AC microgrid using artificial neural network and DSTATCOM

DP Acharya, N Nayak… - … Conference in Advances …, 2021 - ieeexplore.ieee.org
The evolution of non-renewable energy sources in modern era leads to the perception of
Micro Grid (MG). The enormous energy demand of the exponentially increasing population …

Deep neural network based hierarchical control of residential microgrid using LSTM

AG Kumar, MR Sindhu… - TENCON 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Microgrid is a hot topic for the present research as their role is significant in framing reliable
and efficient power system. Major sources in a typical microgrid are renewable resources …

Intelligent energy management for micro-grid based on deep learning LSTM prediction model and fuzzy decision-making

D El Bourakadi, A Yahyaouy, J Boumhidi - … Computing: Informatics and …, 2022 - Elsevier
In this paper, we present a new intelligent system based on multi-agent system for energy
management in micro-grid with grid-connected mode and mainly based on wind energy …

[HTML][HTML] Performance enhancement of an economically operated DC microgrid with a neural network–based tri-port converter for rural electrification

R Sitharthan, K Madurakavi, I Jacob Raglend… - Frontiers in Energy …, 2022 - frontiersin.org
The DC Microgrid sounds familiar in recent days for its independent grid operation and
energizing small communities without relying on the central grid. The sudden change in …