Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

By M. Günay. 2016

169 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/19f2f777439abd7aa702b47279854bbd4c36794f

How researchers see this paper

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

In Economics and Econometrics

1. Mahsa Hasanpour Kashani
2. Babak Mohammadi
3. Mohammad Ali Ghorbani
4. Ravinesh C. Deo
5. Zaher Mundher Yaseen

In Electrical and Electronic Engineering

1. Zaher Mundher Yaseen
2. Mohammad Ali Ghorbani
3. Mahsa Hasanpour Kashani
4. Babak Mohammadi
5. Ravinesh C. Deo

In Management Science and Operations Research

1. Mahsa Hasanpour Kashani
2. Babak Mohammadi
3. Mohammad Ali Ghorbani
4. Ravinesh C. Deo
5. Zaher Mundher Yaseen

Citations in the corpus

• Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (2018, methodology): “The backpropagation training algorithm is a supervised learning platform and has been applied in several prediction problems (Mohanty et al. 2015; Günay 2016; Mba et al. 2016).”