Mert NakıpArda AsutCennet KocabiyikCüneyt GüzelişKocabiyik, CennetGüzelis, CuneytAsut, ArdaNakip, Mert2025-10-062021978605011437910.23919/ELECO54474.2021.96776702-s2.0-85125252363https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125252363&doi=10.23919%2FELECO54474.2021.9677670&partnerID=40&md5=f7fb798f978a19e288ad8be3cf85b666https://gcris.yasar.edu.tr/handle/123456789/9040https://doi.org/10.23919/ELECO54474.2021.9677670Distributing the peak load and alleviating grid stress by considering hourly electricity prices are some of the main research problems for current smart grid systems. This paper deals with the scheduling problem of home appliances' operating hours in smart grids which aims to achieve minimum cost in user-defined operation intervals. To this end scheduling via Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic (ANN-AH) method that emulates the operation of the optimization for smart home demand response is developed. Our results show that a home demand response via ANN-AH achieves close to optimal performance with 10 times lower execution time than the optimal scheduling. These results suggest that the ANN-AH based demand response is highly successful and practical and it is promising for future applications in micro-grid and decentralized renewable energy systems. © 2022 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessArtificial Neural Network, Demand Response, Optimization, Scheduling, Automation, Domestic Appliances, Electric Power Transmission Networks, Heuristic Methods, Neural Networks, Renewable Energy Resources, Scheduling, Smart Power Grids, 'current, Constraint Satisfaction, Demand Response, Electricity Prices, Optimisations, Peak Load, Research Problems, Response Systems, Smart Grid Systems, Smart Homes, OptimizationAutomation, Domestic appliances, Electric power transmission networks, Heuristic methods, Neural networks, Renewable energy resources, Scheduling, Smart power grids, 'current, Constraint Satisfaction, Demand response, Electricity prices, Optimisations, Peak load, Research problems, Response systems, Smart grid systems, Smart homes, OptimizationSchedulingArtificial Neural NetworkOptimizationDemand ResponseConference Object