scholarly journals A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids

2015 ◽  
pp. 113-130 ◽  
Author(s):  
Enrico De Santis ◽  
Fabio Massimo Frattale Mascioli ◽  
Alireza Sadeghian ◽  
Antonello Rizzi
Keyword(s):  
Evolutionary Computation ◽  
Smart Grids ◽  
Learning Approach

Smart Grids False Data Injection Identification: a Deep Learning Approach

2019 ◽  
Author(s):  
Helton do Nascimento Alves ◽  
Newton G. Bretas ◽  
Arturo S. Bretas ◽  
Ben-Hur Matthews
Keyword(s):  
Deep Learning ◽  
Smart Grids ◽  
Learning Approach ◽  
False Data Injection

Fault Diagnosis of Smart Grids Based on Deep Learning Approach

2021 ◽  
Author(s):  
Halid Kaplan ◽  
Kambiz Tehrani ◽  
Mo Jamshidi
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Smart Grids ◽  
Learning Approach

scholarly journals Distributed Charging Prioritization Methodology Based on Evolutionary Computation and Virtual Power Plants to Integrate Electric Vehicle Fleets on Smart Grids

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2402 ◽  
Author(s):  
J.I. Guerrero ◽  
Enrique Personal ◽  
Antonio García ◽  
Antonio Parejo ◽  
Francisco Pérez ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Computation ◽  
Electric Vehicle ◽  
Smart Grids ◽  
Power Plants ◽  
Power Grid ◽  
Virtual Power ◽  
Increase Energy Efficiency ◽  
Virtual Power Plants ◽  
Evolution Control

Electric vehicle fleets and smart grids are two growing technologies. These technologies have provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as mobile loads in the power grid. A distributed charging prioritization methodology is proposed in this paper. The solution is based on the concept of virtual power plants and the usage of evolutionary computation algorithms. Additionally, a comparison of several evolutionary algorithms—namely genetic algorithm, genetic algorithm with evolution control, particle swarm optimization, and hybrid solution—is shown, in order to evaluate the proposed architecture. The proposed solution is presented as a means to prevent overload of the power grid.

A Deep Learning Approach for Detection of Electricity Theft Cyber Attacks in Smart Grids

2018 ◽  
Author(s):  
Muhammad Ismail ◽  
Mostafa Shahin ◽  
Erchin Serpedin ◽  
Khalid Qaraqe
Keyword(s):  
Deep Learning ◽  
Smart Grids ◽  
Cyber Attacks ◽  
Learning Approach ◽  
Electricity Theft

A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids

2018 ◽  
Vol 39 ◽  
pp. 267-278 ◽  
Author(s):  
Enrico De Santis ◽  
Antonello Rizzi ◽  
Alireza Sadeghian
Keyword(s):  
Smart Grids ◽  
Fault Classification ◽  
Learning Approach

scholarly journals Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids

2020 ◽  
Vol 97 ◽  
pp. 106711
Author(s):  
Luis Avila ◽  
Mariano De Paula ◽  
Maximiliano Trimboli ◽  
Ignacio Carlucho
Keyword(s):  
Reinforcement Learning ◽  
Smart Grids ◽  
Learning Approach ◽  
Pv Systems
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