Forecasting of natural gas consumption with artificial neural networks

By J. Szoplik. 2015

314 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/7d5e864e32afe86bc67997c800f205f48fad33db

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. N. Rafizadeh
2. Hamed Ghoddusi
3. Germán G. Creamer

In Management Science and Operations Research

1. N. Rafizadeh
2. Hamed Ghoddusi
3. Germán G. Creamer

Citations in the corpus

• Machine learning in energy economics and finance: A review (2019, background): “Papers that use ML to predict natural gas demand include Azadeh et al. (2010), Szoplik (2015), and Panapakidis and Dagoumas (2017), among others.”