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This work uses extensive feature engineering to extract useful information about the behaviour of energy consumers. These features are then used to train a random forest model to forecast unknown monthly consumption.本研究采用大规模特征工程技术，提取有关能源消费者用电行为的有效信息。随后利用这些特征训练随机森林模型，以预测未知的月度能耗。