Optimal modeling and forecasting of the energy consumption and production in China

By Ping-ping Xiong, Yao-guo Dang, Tianxiang Yao, Zheng-xin Wang. 2014

111 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/0ac12cb1a7e8f457c6f361b9956a10a24ee8529b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Ljupco Kocarev
2. Sonja Filiposka
3. Aleksandar Dedinec
4. Aleksandra Dedinec

In Management Science and Operations Research

1. Ljupco Kocarev
2. Sonja Filiposka
3. Aleksandar Dedinec
4. Aleksandra Dedinec

Citations in the corpus

• Deep belief network based electricity load forecasting: An analysis of Macedonian case (2016, methodology): “On the other hand, the arti fi cial intelligence based models are based on expert systems [36], grey systems [8 e 10], arti fi cial neural networks (ANN), support vector machines [29] and fuzzy logic [25,32].”