Automatic Short-Term Load Prediction Method for HVAC Based on Variational Mode Decomposition
The conventional automatic short-term load forecasting methods for HVAC mainly focus on heat load forecasting,ignoring cooling load and affecting the accuracy of short-term load forecasting.Therefore,a short-term load automatic prediction method for HVAC based on variational mode decomposition was designed.Firstly,the impact of outdoor dry bulb temperature,wind speed,and solar radiation on the predicted load is used as input variables to construct an HVAC short-term load variational mode decomposition automatic prediction model,ensuring the accuracy of the model prediction.Then predict the short-term HVAC cooling and heating load sequence,taking into account indoor and outdoor environmental factors,building structure,equipment load,and historical data,to comprehensively predict the short-term HVAC load to meet the demand for load forecasting.Finally,through comparative experiments,it was verified that the method has higher accuracy in load forecasting and can be applied in practical life.
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