WiP Abstract: Human-Assisted Power Demand Forecasting Based on Action Plan Declaration

Masaki Igarashi, Atsushi Shimada, H. Nagahara, R. Taniguchi
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Abstract

We propose a method for forecasting power demand based on action plan declaration. Conventional method uses sensing data such as time series of power consumption and weather information and fails to forecast power demand due to unstable user behavior. By using action plan declared by user, meanwhile, we achieve rough forecasting of power demand.
摘要:基于行动计划声明的人工辅助电力需求预测
提出了一种基于行动计划声明的电力需求预测方法。传统的方法利用时间序列的电力消耗和天气信息等传感数据,由于用户行为不稳定,无法预测电力需求。同时利用用户的行动计划,实现对电力需求的粗略预测。
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