Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review
The implementation of renewable energy brings numerous advantages including reduction
of power transmission cost and minimization of the global warming problems. The …
of power transmission cost and minimization of the global warming problems. The …
[HTML][HTML] Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
Many countries around the world are planning to reach 100% renewable energy use by
2050. In this context and due to the recent sharp increase in RE utilization in the global …
2050. In this context and due to the recent sharp increase in RE utilization in the global …
Electronically tunable ACO based fuzzy FOPID controller for effective speed control of electric vehicle
The phenomenal growth of the Electric Vehicle (EV) technology demands efficient and
intelligent control strategies for the propulsion system. In this work, a novel fuzzy fractional …
intelligent control strategies for the propulsion system. In this work, a novel fuzzy fractional …
[HTML][HTML] Renewable energy-based DC microgrid with hybrid energy management system supporting electric vehicle charging system
Growing Electric vehicle (EV) ownership leads to an increase in charging stations, which
raises load demand and causes grid outages during peak hours. Microgrids can significantly …
raises load demand and causes grid outages during peak hours. Microgrids can significantly …
Optimal planning of battery energy storage systems by considering battery degradation due to ambient temperature: a review, challenges, and new perspective
In recent years, the goal of lowering emissions to minimize the harmful impacts of climate
change has emerged as a consensus objective among members of the international …
change has emerged as a consensus objective among members of the international …
Artificial Neural Network Hyperparameters Optimization: A Survey.
ZS Kadhim, HS Abdullah… - International Journal of …, 2022 - search.ebscohost.com
Abstract Machine-learning (ML) methods often utilized in applications like computer vision,
recommendation systems, natural language processing (NLP), as well as user behavior …
recommendation systems, natural language processing (NLP), as well as user behavior …
Fault detection and protection schemes for distributed generation integrated to distribution network: Challenges and suggestions
The use of distributed generation has received wide attention due to low maintenance costs,
reduced transmission line losses and network congestion, as well as minimal impact on …
reduced transmission line losses and network congestion, as well as minimal impact on …
Machine learning for the control and monitoring of electric machine drives: Advances and trends
S Zhang, O Wallscheid… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
Particle swarm optimization algorithm based fuzzy controller for solid-state transfer switch toward fast power transfer and power quality mitigation
MA Hannan, G Sebastian, AQ Al-Shetwi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The objective of this research is to propose an innovative method for improving the efficiency
and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non …
and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non …