Building near-zero energy consumption controller based on renewable energy big data deep learning

Abstract

The invention discloses a building near-zero energy consumption controller based on renewable energy big data deep learning. According to the building near-zero energy consumption controller, featurelearning adopts stacking noise reduction automatic coding in deep learning, depth features in original data are learned in an unsupervised manner, a building renewable energy prediction model is established by utilizing XGboost in machine learning, and finally a linear regression model is constructed by regarding a renewable energy predicted value as an input layer and operation history energy consumption data as an input layer of the energy consumption, thus energy consumption weights of portions corresponding to the operation history energy consumption are obtained, the energy consumption ofenergy-consuming equipment of the building is controlled according to the weights, and the total operation energy consumption approaches the renewable energy predicted value, thereby achieving the control purpose of building near-zero energy consumption.

Description

technical field [0001] The invention relates to a data mining technology and a deep learning method, which belongs to a building near-zero energy consumption control method based on renewable energy big data deep learning, including an unsupervised deep feature learning method and a supervised machine learning prediction method based on renewable energy big data. Among them, the feature learning adopts stacked noise reduction automatic coding in deep learning, unsupervised learning of deep features in raw data, using XGboost (eXtreme Gradient Boosting) in machine learning to establish a building renewable energy prediction model, and finally according to the renewable energy The energy prediction value and the operation history energy consumption data are respectively used as the output layer and the input layer of the linear regression model, and the linear regression model is constructed to obtain the energy consumption weight of each part corresponding to the operation histo...

AI Technical Summary

Problems solved by technology

[0003] In recent years, due to its ultra-low energy consumption, high comfort and other characteristics, near-zero-energy buildings have attracted extensive attention from the construction industry at home and abroad. Research is still blank

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