LOAD PREDICTION COMPARISON ANALYSIS SYSTEM FOR CALCULATING CUSTOMER REFERENCE LOAD

摘要

PPROBLEM TO BE SOLVED: To provide a tool for pick prediction and management by including total usage in accordance with a customer classification baseline, predicting short-term power consumption according to types of industries and contracts at intervals of 15 min, and then comparing predicted models to select the optimum short-term prediction value, thus supporting a rational power consumption policy. PSOLUTION: A load prediction comparison analysis system for calculating the started customer baseline load includes: a customer baseline load estimation part which accepts an input of a load profile and provides a customer baseline load (CBL: Customer Baseline Load) estimation method; a customer baseline load processing part which estimates the customer baseline load and determines an estimated value by applying a customer criterion bottom estimation method according to the customer baseline load, using the road profile; and a customer baseline load verification part which compares the road profile with the estimated value to determine an error value. PCOPYRIGHT: (C)2010,JPO&INPIT