Machine Learning and Data Mining Applications in Power Systems-Reference-Cited by-同舟云学术

Machine Learning and Data Mining Applications in Power Systems

Published:2022-02-24 Issue:5 Volume:15 Page:1676
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Leonowicz Zbigniew^ORCID,Jasinski Michal^ORCID

Abstract

This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods in order to facilitate the development of modern electric power systems, grids and devices, smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis [...]

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

https://www.mdpi.com/1996-1073/15/5/1676/pdf

Reference15 articles.

1. Improving Detection of False Data Injection Attacks Using Machine Learning with Feature Selection and Oversampling

2. Intelligent Scheduling of Smart Home Appliances Based on Demand Response Considering the Cost and Peak-to-Average Ratio in Residential Homes

3. Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment

4. Isolated Areas Consumption Short-Term Forecasting Method

5. Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape

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