Short-term Electricity Forecasting of Air-conditioners of Hospital Using Artificial Neural Networks
作者： Chao-Rong Chen , Shun-Chung Shih , Shih-Cheng Hu
关键词: Air conditioning 、 Term (time) 、 Artificial neural network 、 HVAC 、 Load modeling 、 Computer science 、 Energy management 、 Weather forecasting 、 Operations research 、 Electricity
摘要: This paper proposes practical predictions of hospital air-conditioner electricity using the artificial neural network, owing to its excellent predict ability. The influence variables are included temperature, relative humidity, previous one hour electricity, time in day, and some uncontrolled variables, e.g. number surgical operations, persons; fix e.g., area indoors, sickbeds, etc. Therefore, short-term forecasting air conditioner is difficult. But it important do energy management. There three types network models prediction next load hospital, they each weekday with outpatient considering, without considering. results show that able assist operators management
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