Load forecasting techniques for power system: Research challenges and survey

N Ahmad, Y Ghadi, M Adnan, M Ali - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach

A Hassanat, K Almohammadi, E Alkafaween… - Information, 2019 - mdpi.com
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 …

Progress on the demand side management in smart grid and optimization approaches

E Sarker, P Halder… - … Journal of Energy …, 2021 - Wiley Online Library
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 …

A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest

MG El-Shafiey, A Hagag, ESA El-Dahshan… - Multimedia Tools and …, 2022 - Springer
Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
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

MLC Pena, A Carballal, N Rodríguez-Fernández… - Automation in …, 2021 - Elsevier
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 …

[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review

MA Hammad, B Jereb, B Rosi, D Dragan - Logistics, Supply Chain …, 2020 - sciendo.com
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 …

A survey on optimization metaheuristics

I Boussaïd, J Lepagnot, P Siarry - Information sciences, 2013 - Elsevier
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 …

Feature selection based on hybridization of genetic algorithm and particle swarm optimization

P Ghamisi, JA Benediktsson - IEEE Geoscience and remote …, 2014 - ieeexplore.ieee.org
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 …

[HTML][HTML] Optimal design of steel exoskeleton for the retrofitting of RC buildings via genetic algorithm

J Olivo, R Cucuzza, G Bertagnoli, M Domaneschi - Computers & Structures, 2024 - Elsevier
In recent decades, steel exoskeletons have gathered significant attention as a seismic
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 …