[HTML][HTML] Role of optimization techniques in microgrid energy management systems—A review
GS Thirunavukkarasu, M Seyedmahmoudian… - Energy Strategy …, 2022 - Elsevier
Expeditious urbanization, population growth, and technological advancements in the past
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
Energy management system optimization in islanded microgrids: An overview and future trends
JM Raya-Armenta, N Bazmohammadi… - … and Sustainable Energy …, 2021 - Elsevier
Islanded microgrids (IMGs) provide a promising solution for reliable and environmentally
friendly energy supply to remote areas and off-grid systems. However, the operation …
friendly energy supply to remote areas and off-grid systems. However, the operation …
Smart energy systems for sustainable smart cities: Current developments, trends and future directions
Within the context of the Smart City, the need for intelligent approaches to manage and
coordinate the diverse range of supply and conversion technologies and demand …
coordinate the diverse range of supply and conversion technologies and demand …
An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes
A new methodology, that combine three different Artificial Intelligence techniques, is
proposed in this paper to solve the energy demand planning in Smart Homes. Conceived as …
proposed in this paper to solve the energy demand planning in Smart Homes. Conceived as …
[HTML][HTML] A systematic review of modeling approaches for flexible energy resources
Due to increasing amounts of energy being supplied by intermittent renewable energy
sources, future energy systems need to be able to react flexibly to sudden changes. To …
sources, future energy systems need to be able to react flexibly to sudden changes. To …
Blockchain based data and energy trading in internet of electric vehicles
The drastic increase in real-time vehicle generated data of various types has imparted a
great concept of data trading in vehicular networks. Whereas immense usage of Electric …
great concept of data trading in vehicular networks. Whereas immense usage of Electric …
Optimization methods for power scheduling problems in smart home: Survey
Optimizing the power demand for smart home appliances in a smart grid is the primary
challenge faced by power supplier companies, particularly during peak periods, due to its …
challenge faced by power supplier companies, particularly during peak periods, due to its …
Meta-heuristic optimization based cost efficient demand-side management for sustainable smart communities
The monetary value of grid electricity is inflating significantly due to the staggeringly
broadening gap between electricity demand and supply, which arise from the unceasing …
broadening gap between electricity demand and supply, which arise from the unceasing …
Net zero energy cost building system design based on artificial intelligence
This paper presents a solution to the energy planning problem in buildings by implementing
the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero …
the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero …
Optimizing energy consumption in the home energy management system via a bio-inspired dragonfly algorithm and the genetic algorithm
Due to the exponential increase in the human population of this bio-sphere, energy
resources are becoming scarce. Because of the traditional methods, most of the generated …
resources are becoming scarce. Because of the traditional methods, most of the generated …