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- W2365961806 abstract "Accurate prediction of air conditioning load is not only very important for the efficiency of thermal storage technology,but also for the cooling-heating power technology.This paper selects three typical predictive methods for carrying out load prediction of the same objective building: linear regression(LR),seasonal exponential weight moving average(SEWMA),and artificial neural network(ANN).And then,some conditions for comparison relative to prediction accuracy,complexity,feasibility,as well as other specialties are put forward.The result of comparison shows: ANN is the most accurate of the three,but SEWMA can be applied in projects more easily." @default.
- W2365961806 created "2016-06-24" @default.
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- W2365961806 date "2006-01-01" @default.
- W2365961806 modified "2023-09-25" @default.
- W2365961806 title "Comparative analysis of air conditioning load prediction methods" @default.
- W2365961806 hasPublicationYear "2006" @default.
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