1. Research of Combined Optimum Grey Model to Mid and Long Term Electric Load Forecasting
- Author
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Xiang Shuo He, Xiao Na Yu, and Li Yang
- Subjects
Simple computation ,Mathematical optimization ,Engineering ,Electrical load ,business.industry ,Load forecasting ,General Engineering ,Model parameters ,Term (time) ,Dimension (vector space) ,Theoretical methods ,Dynamic demand ,Econometrics ,business ,Physics::Atmospheric and Oceanic Physics - Abstract
It is well known that mid and long term electric load forecasting has many uncertain factors that influence the forecasting precision greatly, so every forecasting method has its limitation. Considering limitations of basic grey model and conventional improved models, a new practical method called combined optimum grey model for mid and long term load forecasting is introduced. The combined model is composed of partial error optimum grey model (GM) as well as equa-l dimension and new-information grey model. The forecasting algorithm can estimate model parameters, meet the requirements of dynamic power load and overcome random disturbances. Example analysis shows that the forecasting error is below 3 percent. Compared with conventional theoretical methods, the proposed scheme has the characters of simple computation, high forecasting precision and good applicability.
- Published
- 2014