Forecasting energy consumption using a grey model improved by incorporating genetic programming

By Yi-Shian Lee, Lee-Ing Tong. 2011

299 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a84a1a0c1cc440757f3411884a93a9d901d8cdc8

How researchers see this paper

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In Electrical and Electronic Engineering

1. Rongrong Li
2. Shuyu Li

In Management Science and Operations Research

1. Rongrong Li

Citations in the corpus

• Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model (2017, background): “The basic idea of the grey theory is: to combine the known time series according to specific rules to form either a dynamic or non-dynamic combination, and then to solve the law of future development according to specific criterion and solution [26,51,52], which adopt the essential part of the Grey ”