کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5444855 1511113 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration
چکیده انگلیسی
In this study, a heat pump satisfies the heating and cooling needs of a building, and two water tanks store heat and cold respectively. Reinforcement learning (RL) is a model-free control approach that can learn from the behaviour of the occupants, weather conditions, and the thermal behaviour of the building in order to make near-optimal decisions. In this work we use of a specific RL technique called batch Q-learning, and integrate it into the urban building energy simulator CitySim. The goal of the controller is to reduce the energy consumption while maintaining adequate comfort temperatures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Procedia - Volume 122, September 2017, Pages 415-420
نویسندگان
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