Self-Adaptive Genetic Algorithm for Modeling Energy Consumption in a Passive House

This paper explores the possibility to optimize a mathematical model developed for energy prediction, by transitioning from performing a simple one-time Genetic Algorithm for parameter estimation to performing parameter estimation in a self-adaptive manner. This novel chained-GA method is used to recompute the parameters in the base equation in order to preserve accuracy as external conditions change over time.

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