Artificial Intelligence for Energy Efficiency: Predicting the Unpredictable

7 Pages Posted: 22 Jul 2019

See all articles by Mala Das

Mala Das

St. Aloysius' (Auto.) College, Jabalpur

Hitesh Adhao

St. Aloysius' (Auto.) College, Jabalpur

Date Written: February 12, 2019

Abstract

Artificial Intelligence and machine learning are playing a vital role in keeping up with the global demand for clean, cheap and reliable energy. Recent studies show how the world is investing more on renewable sources of energy than the traditional fossil ones which brought the interest in maximizing its utilization. This paper shows research over supply-demand curve, how artificial intelligence predicts the future demands of the energy by intelligently evaluating the unpredictable weather conditions and managing the integrated system (which is a combination of renewable sources and fossil fuels) to optimize the production of electricity. This way clean energy will be produced for the people, it will lower down the storage cost and consumer billing costs; it will enhance the output by the use of renewable sources of energy.

Keywords: Optimization of Renewable Resources, Forecasting, Integrated system, Artificial Intelligence, Machine Learning

Suggested Citation

Das, Mala and Adhao, Hitesh, Artificial Intelligence for Energy Efficiency: Predicting the Unpredictable (February 12, 2019). Advances in Power Generation from Renewable Energy Sources (APGRES) 2019, Available at SSRN: https://ssrn.com/abstract=3422838 or http://dx.doi.org/10.2139/ssrn.3422838

Mala Das (Contact Author)

St. Aloysius' (Auto.) College, Jabalpur ( email )

Sadar
Jabalpur, 482001
India

Hitesh Adhao

St. Aloysius' (Auto.) College, Jabalpur ( email )

Sadar
Jabalpur, 482001
India

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