Energy Demand Predicting System and Energy Demand Predicting Method

An energy demand predicting system, which predicts an energy demand, comprising:

• a basic data extraction unit for demand pattern generation that extracts energy demand record information corresponding to a preset past period as basic data for demand pattern generation;
• a classification granularity adjustment processing unit that generates each of demand pattern generation data which includes one or more unit data each indicative of an energy demand for each time granularity in a combination for each of one or more preset combinations of a contracted demand granularity and the time granularity based on the extracted basic data for demand pattern generation;
• a segmentation processing unit that classifies the respective unit data included in the demand pattern generation data as a proper number of subsets based on a characteristic quantity indicative of a characteristic of an energy demand tendency for each demand pattern generation data, and extracts a demand pattern indicative of a representative energy consumption tendency for each subset;
• a profile processing unit that generates a combination of each demand pattern of the demand pattern generation data and consumer attribute information, which is common to each demand pattern, for each demand pattern generation data as a demand type of the demand pattern generation data;
• an evaluation prediction value computation processing unit that computes the energy demand at a preset past date and time as an evaluation prediction value for each demand type;
• an evaluation and calculation unit that determines the contracted demand granularity and the time granularity such that an error is minimized between an estimated value or a prediction value of the energy demand at the past date and time and an actual observed value at a relevant date and time based on the evaluation prediction value for each demand type and the energy demand record information;
• and
• a final prediction value computation processing unit that estimates or predicts an energy demand value at the relevant date and time based on information of the demand type according to the determined contracted demand granularity and the time granularity, information of an electricity sales plan at an arbitrary date and time, and a prediction value of the attribute information at the relevant date and time.