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Load forecasting techniques for power system: Research challenges and survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …
think tank of power sectors should forecast the future need of electricity with large accuracy …
[HTML][HTML] Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …
evolution and natural selection theory and is under the umbrella of evolutionary computing …
Progress on the demand side management in smart grid and optimization approaches
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
heart-disease prediction has garnered considerable attention in the medical domain …
heart-disease prediction has garnered considerable attention in the medical domain …
[HTML][HTML] Artificial intelligence applied to conceptual design. A review of its use in architecture
Conceptual architectural design is a complex process that draws on past experience and
creativity to generate new designs. The application of artificial intelligence to this process …
creativity to generate new designs. The application of artificial intelligence to this process …
[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …
plays a crucial role in electric capacity scheduling and power systems management and …
A survey on optimization metaheuristics
Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
Feature selection based on hybridization of genetic algorithm and particle swarm optimization
A new feature selection approach that is based on the integration of a genetic algorithm and
particle swarm optimization is proposed. The overall accuracy of a support vector machine …
particle swarm optimization is proposed. The overall accuracy of a support vector machine …
[HTML][HTML] Optimal design of steel exoskeleton for the retrofitting of RC buildings via genetic algorithm
In recent decades, steel exoskeletons have gathered significant attention as a seismic
retrofitting technique for existing structures. The design methods proposed so far are …
retrofitting technique for existing structures. The design methods proposed so far are …
[หนังสือ][B] Genetic algorithms+ data structures= evolution programs
Z Michalewicz - 2013 - books.google.com
Genetic algorithms are founded upon the principle of evolution, ie, survival of the fittest.
Hence evolution programming techniques, based on genetic algorithms, are applicable to …
Hence evolution programming techniques, based on genetic algorithms, are applicable to …