Greek long-term energy consumption prediction using artificial neural networks

By Lambros Ekonomou. 2010

438 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3397994d1b1f82262b2dd22127fbb92b89fb0091

How researchers see this paper

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

In Artificial Intelligence

1. S. Sadegh
2. Sasan Barak

In Computer Vision and Pattern Recognition

1. S. Sadegh
2. Sasan Barak

In Electrical and Electronic Engineering

1. S. Sadegh
2. Sasan Barak

Citations in the corpus

• Forecasting energy consumption using ensemble ARIMA-ANFIS hybrid algorithm (2016, background): “As over the past decade global energy consumption has increased rapidly because of population and economic growth [3, 4].”