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Electricity Consumption Forecasting Using Machine Learning | IEEE Conference Publication | IEEE Xplore

Electricity Consumption Forecasting Using Machine Learning


Abstract:

Intelligent energy management is a significant space of interest to fulfill the rising energy need for which a few nations are sending smart meters. By there is a need to...Show More

Abstract:

Intelligent energy management is a significant space of interest to fulfill the rising energy need for which a few nations are sending smart meters. By there is a need to better imagine the high-volume of information caught by savvy meters to give a way to successfully accumulate different scientific experiences which can help in better understanding the energy use designs. This work presents an approach of using machine learning models like support vector machine, extreme gradient boost and light gradient boosting machine for long term load forecast. the past power utilization to foresee the future power utilization. These models were tried on the openly accessible London Smart Energy Meter dataset. All these models were trained in order to evaluate their performances against the root mean square error. The correlation is performed between energy and weather datasets to see the impact on the power load forecast.
Date of Conference: 07-09 October 2021
Date Added to IEEE Xplore: 12 November 2021
ISBN Information:
Conference Location: Trichy, India

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