Detection and classification of power quality disturbances in smart grids using artificial intelligence methods

G Bayrak, A Yılmaz - Artificial Intelligence (AI), 2021 - taylorfrancis.com
… detection and classification methods for detecting PQDs are suitable for smart grids, and the
… proper detection or classification methods of PQDs using AI-based methods in smart grids. …

Detecting false data attacks using machine learning techniques in smart grid: A survey

L Cui, Y Qu, L Gao, G Xie, S Yu - Journal of Network and Computer …, 2020 - Elsevier
Smart grid (SG) is an intelligent energy delivery infrastructure integrated with advanced
information and communications technologies. The advanced software segments, such as …

Artificial intelligence techniques for the smart grid

N Bassiliades, G Chalkiadakis - Advances in Building Energy …, 2018 - Taylor & Francis
… of automation for Smart Grid security … the Artificial Intelligence for the Smart Grid (AI4SG)
workshop that was held in conjunction with the 9th Hellenic Conference on Artificial Intelligence (…

[HTML][HTML] An artificial intelligence-based electric multiple units using a smart power grid system

Z Liu, Y Gao, B Liu - Energy Reports, 2022 - Elsevier
… can be effectively managed and distributed due to smart grid technologies. The smart grid
links a wide range of distributed energy resources to the power grid.AI can assist in minimizing …

[HTML][HTML] A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes

W Rodgers, JA Cardenas, LA Gemoets… - … Forecasting and Social …, 2023 - Elsevier
… This paper presents an artificial intelligence algorithmic knowledge transfer approach to the
… world for smart grid networks. Many nations are moving forward to implement smarter ways …

Artificial intelligence based phase balancing in the smart grid

P Nagathimmaiah, S Lalitha - AIP Conference Proceedings, 2024 - pubs.aip.org
… In this work, the artificial intelligence technique employing Genetic algorithm is proposed.
Genetic algorithm is one of the search optimization techniques that finds out the best fittest …

[图书][B] Intelligent Paradigms for Smart Grid and Renewable Energy Systems

BV Kumar, P Sivakumar, MMR Singaravel… - 2021 - Springer
… with the smart grid. The smart grid must employ intelligent paradigms such as fuzzy systems,
artificial intelligence, adaptive learning, and optimization techniques. Such optimization …

Artificial intelligence techniques for smart city applications

D Luckey, H Fritz, D Legatiuk, K Dragos… - Proceedings of the 18th …, 2021 - Springer
… and advancing artificial intelligence (AI) techniques, which have proven their ability to
process large amounts of data towards developing learning rules, eg via machine learning (ML), …

Big data analytics of smart grids using artificial intelligence for the outliers correction at demand measurements

JTC Neto, PHM de Andrade… - … systems, circuits and …, 2018 - ieeexplore.ieee.org
… In this way the smart grid has the ability to collect, transmit and process … techniques and
artificial intelligence, which can continuously improve the efficiency and operation of smart grids. …

… Technology, Artificial Intelligence and Machine Learning in Smart Grid–Performance Comparison between Topology Identification Methodology and Neural Network …

AG Lazaropoulos - Trends in Renewable Energy, 2021 - futureenergysp.com
… Hence, the portfolio of the available supported BPL broadband applications of smart grid
is enriched in this paper with the proposed neural network identification methodology for the …