公开(公告)号：US20140095076A1

公开(公告)日：2014-04-03

申请号：US13631480

申请日：2012-09-28

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Manish MARWAH ,  Martin ARLITT ,  Prithwish CHAKRABORTY ,  Naren Ramakrishnan

IPC: G06F19/00 ,  G06F17/18 ,  G01W1/00

CPC classification number: G06Q10/04 ,  F24S2201/00 ,  H02S50/00

Abstract: Systems and automated methods for predicting photovoltaic (PV) generation are provided. Weather forecast data and present-day and historical PV generation data are provided to respective predictors. The predictors derive weighted predictions that are used to calculate a Bayesian model average. Near-future generation by the PV system is predicted using the Bayesian model average. Production rates, worker scheduling, hours of operation and other planning decisions can be made in accordance with the predicted near-future generation.

Abstract translation: 提供了用于预测光伏（PV）一代的系统和自动化方法。 将天气预报数据和当前和历史PV生成数据提供给各个预测值。 预测因子得出用于计算贝叶斯模型平均值的加权预测。 使用贝叶斯模型平均预测PV系统的近一代。 生产率，工人安排，营业时间和其他规划决定可以根据预测的未来一代进行。