ANN approach for predicting economic trends based on electric energy consumption during natural disaster period

Kwangkaew, Akanit; Sornlertlamvanich, Virach; Kumazawa, Itsuo; Skolthanarat, Siriya

doi:10.1109/kicss.2016.7951405

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2019

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“…Artificial Neural Network based models have also been constructed and tested by some researchers to predict energy demand in post-disaster situations [4].…”

Section: Literature Surveymentioning

confidence: 99%

Machine Learning Based Prediction of Energy Consumption

Sk¹,

Singh²,

Sanyal³

2019

International Journal of Innovative Research in Electrical, Ele

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The prediction of energy consumption on a national or regional scale has become extremely important to researchers in recent years, especially in the light of the rate of depletion of primary energy sources combined with the rate of increase in the demand of the same resources on a global scale. The present paper deals with a simple machine learning based approach, using regression, for accurate prediction of energy consumption using the fossil fuel and energy consumption data of India as a representative country.

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“…Artificial Neural Network based models have also been constructed and tested by some researchers to predict energy demand in post-disaster situations [4].…”

Section: Literature Surveymentioning

confidence: 99%