公开(公告)号：WO2012138688A1

公开(公告)日：2012-10-11

申请号：PCT/US2012/032062

申请日：2012-04-04

Applicant: THE CATHOLIC UNIVERSITY OF AMERICA ,  FORBES, Kevin, F. ,  ZAMPELLI, Ernest, M. ,  ST.CYR, O., Chris

Inventor： FORBES, Kevin, F. ,  ZAMPELLI, Ernest, M. ,  ST.CYR, O., Chris

IPC: G06F11/30

CPC classification number: G06Q30/0202 ,  G06Q10/04 ,  G06Q50/06 ,  Y04S10/54 ,  Y04S50/14

Abstract: Systems and methods improve the forecast of electricity consumption, and/or refining such predictions. Predictions may be refined by accounting for factors such as preliminary predictions, pricing and cost information associated with future supply of energy, the extent of anticipated changes in the predictions, the time of day and/or anticipated daylight for the period of time. Coefficient values are calculated for a forecast error model that takes into account factors related to electricity consumption using existing historical electrical grid data. Using the calculated values, the forecast error model may be applied to current electricity demand forecasts.

Abstract translation: 系统和方法提高了用电量的预测和/或改进了这些预测。 可以通过考虑与未来能源供应相关的初步预测，定价和成本信息，预测的预期变化程度，时间和/或期望的预期日光等因素来改进预测。 对于使用现有历史电网数据考虑与电力消耗相关的因素的预测误差模型，计算系数值。 使用计算值，预测误差模型可能适用于当前的电力需求预测。