An ML Approach for Household Power Consumption

In India, electricity bill is issued for two months once for the ingestion of the power. Even though household power ingestions are low when compared to the industry, the power ingestion utilization need a prediction for future plans. According to household power ingestion, the electricity bill is m...

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Bibliographic Details
Published in2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) pp. 784 - 791
Main Authors Abdul Munaf, R. Nafeena, Karthikeyan, K., Gnanaraj, S. Joe Patrick, Sivakumar, T.A., Muthukumaran, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.04.2022
Subjects
Data communication
Industries
Machine learning
Power demand
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Summary:In India, electricity bill is issued for two months once for the ingestion of the power. Even though household power ingestions are low when compared to the industry, the power ingestion utilization need a prediction for future plans. According to household power ingestion, the electricity bill is more when the power ingestion goes above 500 units in Tamilnadu, India. In this work, a study has been conducted by machine learning for the prediction of power ingestion. Four models has developed for the assessment. The results are amazing for the ingestion prediction. The work is useful for the industry also for the easily assess the ingestion and its prediction.
DOI:10.1109/ICSCDS53736.2022.9760738