Analysis and Prediction of Electric Supply on Home Usage

被引：0

作者：

Kulkarni, Umesh L. ^{[1
]}

Parvat, Thaksen J. ^{[2
]}

机构：

[1] Pacific Univ, Higher Educ & Res Univ, Comp Technol, Udaipur, Rajasthan, India

[2] Sinhgad Inst Technol, Kusgaon Bk, Lonavala, India

来源：

2018 2ND IEEE GLOBAL CONFERENCE ON WIRELESS COMPUTING AND NETWORKING (GCWCN - 2018), VOL II | 2018年

关键词：

Electrical storage; Regression; Probabilistic data;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Proposed system does analysis and prediction of electricity consumption on home usage electric supply with Regression Analysis. Intelligence system is helpful to find out power need requirement of a particular area. Simple linear multivariate regression technique is used for prediction. Dataset is taken from UCI repository. The data set consists of more than two lakh Instances, 10 years electrical usage of a city in which Home, Architectural, Industry and also with minute, hourly, daily, monthly, yearly usage of electricity is collected. We have achieved maximum accuracy using regression for prediction. Aggregation is used to convert uncertain probabilistic data into a certain data. Data mining is used for future power requirement analysis.

引用

页码：70 / 74

页数：5

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