Genetic-programming-based multi-objective optimization of strategies for home energy-management systems

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@Article{ZUPANCIC:2020:Energy,

• author = "Jernej Zupancic and Bogdan Filipic and Matjaz Gams",
• title = "Genetic-programming-based multi-objective optimization of strategies for home energy-management systems",
• journal = "Energy",
• volume = "203",
• pages = "117769",
• year = "2020",
• ISSN = "0360-5442",
• DOI = "doi:10.1016/j.energy.2020.117769",
• URL = "http://www.sciencedirect.com/science/article/pii/S0360544220308768",
• keywords = "genetic algorithms, genetic programming, Home energy-management system (HEMS), Multi-objective optimization, Tree-based strategy, Timetable-based strategy, Multi-objective reinforcement learning (MORL)",
• abstract = "Home energy-management systems can optimize performance either by computing the next step dynamically - online, or rely on a precomputed strategy used to introduce the next decision - offline. Further, such systems can optimize based on only one or several objectives. In this paper, the multi-objective optimization of offline strategies for home energy-management systems is addressed. Two approaches are compared: the common timetable-based versus our approach based on decision trees. The timetable-based strategy is optimized using a multi-objective genetic algorithm, while the tree-based strategy is optimized using multi-objective genetic programming. As a result, a set of rules that comprise the trees for efficient management of an energy system is generated automatically. First, the approaches are addressed theoretically, with the finding that the tree-based approach is more powerful than the timetable-based approach. Second, the performance of the tree-based approach is compared with the performance of the timetable-based approach and manually defined strategies in an experiment involving real-world data. A performance increase of up to 17percent in terms of the cost objective was confirmed for the tree-based approach. This is achieved without changing the user habits, i.e., there is no need of having to adapt the appliance usage to the energy-management system",

}

Genetic Programming entries for Jernej Zupancic Bogdan Filipic Matjaz Gams

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