| 摘要 |
PROBLEM TO BE SOLVED: To provide power consumption prediction method and device capable of predicting power consumption easily even in an environment where installation of a wattmeter is difficult, by allowing prediction of power consumption from a plurality of factors other than the measured value of power consumption.SOLUTION: Observation data, such as power consumption, number of people, weather, is inputted from an input interface 110, and different time series data of a plurality of observation sources is stored in the data storage section 121 of a memory device 120. A statistic analysis section 122 analyzes the causal relationship between data of different data feature amount or observation source, from various time series data stored in the data storage section 121, based on a nonlinear multiple regression model. In particular, highly accurate prediction is possible even with a small number of data, by performing analysis including time factors. Unknown power consumption is predicted by assigning the data of weather and the number of people to a prediction model formula obtained by analyzing previously in a data predicting section 130, and the final results is outputted from an output interface 140 to a monitor 160.SELECTED DRAWING: Figure 2 |
