Building energy consumption prediction system and method based on artificial intelligence

The invention relates to the field of building energy consumption intelligent prediction, and particularly discloses a building energy consumption prediction system and method based on artificial intelligence, which combine deep learning and time sequence analysis technologies, collect historical energy consumption and temperature data, convert the data into feature vectors, and perform encoding and decoding processes to obtain a prediction result of building energy consumption. According to the method, the nonlinear relation between the historical energy consumption data and the temperature data is better captured, and then the value of the building energy consumption in the current month is predicted, so that accurate prediction and intelligent control of the building energy consumption are realized, and the economical efficiency and the safety of a power grid are maintained. 本申请涉及建筑能耗智能预测领域，其具体地公开了一种基于人工智能的建筑能耗预测系统及其方法，其结合深度学习和时间序列分析技术，通过采集历史能耗和温度数据，将其转化为特征向量，并经过编码和解码过程，更好地捕捉历史能耗数据和温度数据之间的非线性关系，进而预测当前月份建筑能