Abstract
It is very difficult to reduce the energy consumption in domestic and passenger transport sectors, where households make use of various in-home and out-of-home energy-powered appliances (in-home: e.g., refrigerator, air-conditioner, and washing machine; out-of-home: e.g., passenger car and motorcycle) to meet their daily life needs. Decisions on the ownership of energy-powered appliances and the resulting amount of energy consumption are behaviorally interrelated with each other from appliance to appliance, from time to time, from household to household, and from context to context. To explain such complicated behavior phenomenon, various decision-making models have been proposed in different research disciplines, which are usually based on different behavioral assumptions.
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