LONG-TERM ELECTRICAL ENERGY CONSUMPTION FORECASTING FOR DEVELOPING AND DEVELOPED ECONOMIES BASED ON DIFFERENT OPTIMIZED MODELS AND HISTORICAL DATA TYPES

By F. J. Ardakani, M. Ardehali. 2014

160 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/f0108321409872557ddc9a787678d3746c7b81e0

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In Economics and Econometrics

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

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): “[12] the input variables for energy import and energy export are being used as well.”