Application of Intelligent Optimization Algorithms on Short-Term Electric Load Forecasting: A Review

The optimization algorithms to determine the coefficients of predicting the short-term load original methods is one of the strategies to estimate complex issues with the electricity system's functioning and control. Although there are many essential subjects in power system operation, load pred...

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Published in:2023 3rd International Scientific Conference of Engineering Sciences (ISCES) pp. 140 - 144
Main Authors: Sadiq, Taha Abbas, Hussein, Balasim Mohammed
Format: Conference Proceeding
Language:English
Published: IEEE 03.05.2023
Subjects:
Basic
Classification algorithms
Hybrid
Load forecasting
Modified
Optimization algorithms
Planning
Power systems
Prediction algorithms
Predictive models
Short-term
Surveys
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Abstract The optimization algorithms to determine the coefficients of predicting the short-term load original methods is one of the strategies to estimate complex issues with the electricity system's functioning and control. Although there are many essential subjects in power system operation, load prediction has a crucial decision in the areas of planning, scheduling, load flow analysis, contingency analysis, and power system maintenance. The purpose of this work is to survey and categorize the electric load prediction methods that have been published in the last six years. Unlike those earlier review papers before, this work includes not only contemporary studies but also new classifications (basic, modified, and hybrid methods). Additionally, it contains a brief description of each approach, which this work provided, as benefits, and drawbacks of the optimization algorithms. At the end of this paper, a suggestion has been introduced according to the algorithm's properties.
AbstractList The optimization algorithms to determine the coefficients of predicting the short-term load original methods is one of the strategies to estimate complex issues with the electricity system's functioning and control. Although there are many essential subjects in power system operation, load prediction has a crucial decision in the areas of planning, scheduling, load flow analysis, contingency analysis, and power system maintenance. The purpose of this work is to survey and categorize the electric load prediction methods that have been published in the last six years. Unlike those earlier review papers before, this work includes not only contemporary studies but also new classifications (basic, modified, and hybrid methods). Additionally, it contains a brief description of each approach, which this work provided, as benefits, and drawbacks of the optimization algorithms. At the end of this paper, a suggestion has been introduced according to the algorithm's properties.
Author Sadiq, Taha Abbas
Hussein, Balasim Mohammed
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  givenname: Balasim Mohammed
  surname: Hussein
  fullname: Hussein, Balasim Mohammed
  email: balasim@inbox.ru
  organization: College of Engineering, University of Diyala,Department of Electrical Power and Machine Engineering,Diyala,Iraq
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Snippet The optimization algorithms to determine the coefficients of predicting the short-term load original methods is one of the strategies to estimate complex...
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StartPage 140
SubjectTerms Basic
Classification algorithms
Hybrid
Load forecasting
Modified
Optimization algorithms
Planning
Power systems
Prediction algorithms
Predictive models
Short-term
Surveys
Title Application of Intelligent Optimization Algorithms on Short-Term Electric Load Forecasting: A Review
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