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A review on application of artificial intelligence techniques in microgrids
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
[HTML][HTML] Review of energy management system approaches in microgrids
S Vuddanti, SR Salkuti - Energies, 2021 - mdpi.com
To sustain the complexity of growing demand, the conventional grid (CG) is incorporated
with communication technology like advanced metering with sensors, demand response …
with communication technology like advanced metering with sensors, demand response …
Fuzzy logic-based energy management for isolated microgrid using meta-heuristic optimization algorithms
Rural areas have increased directly with the growth of the world population. Although,
isolated rural areas do not have the energy infrastructure to supply essential services such …
isolated rural areas do not have the energy infrastructure to supply essential services such …
[HTML][HTML] Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
Demand-side energy management techniques, such as load shielding, shifting, and
delaying appliance operation during peak periods, are typically used to reduce electricity …
delaying appliance operation during peak periods, are typically used to reduce electricity …
A review of controllers and optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and future …
The microgrid connected with the battery energy storage system is a promising solution to
address carbon emission problems and achieve the global decarbonization goal by 2050 …
address carbon emission problems and achieve the global decarbonization goal by 2050 …
[HTML][HTML] Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers
Microgrids, comprising distributed generation, energy storage systems, and loads, have
recently piqued users' interest as a potentially viable renewable energy solution for …
recently piqued users' interest as a potentially viable renewable energy solution for …
Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
This study deals with the development of an optimal power scheduling controller for energy
management of distributed energy resources in the microgrid system. The developed …
management of distributed energy resources in the microgrid system. The developed …
Optimization strategies for Microgrid energy management systems by Genetic Algorithms
Abstract Grid-connected Microgrids (MGs) have a key role for bottom-up modernization of
the electric distribution network forward next generation Smart Grids, allowing the …
the electric distribution network forward next generation Smart Grids, allowing the …
An interval type-3 fuzzy system and a new online fractional-order learning algorithm: theory and practice
The main reason of the extensive usage of the fuzzy systems in many branches of science is
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …
Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations
Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …
The major source of energy is still fossil fuel, which has resulted in the well-documented …