计算机科学
功率消耗
消费(社会学)
功率(物理)
人工智能
电力
机器学习
算法
社会科学
量子力学
物理
社会学
作者
Aaditi Parate,Sachin Bhoite
出处
期刊:International Journal of Computer Applications Technology and Research
日期:2019-09-17
卷期号:8 (9): 371-376
被引量:5
标识
DOI:10.7753/ijcatr0809.1007
摘要
Electric energy consumption is the actual energy demand made on existing electricity supply.However, the mismanagement of its utilisation can lead to a fall in the supply of electricity.It is therefore imperative that everybody should be concerned about the efficient use of energy in order to reduce consumption [1].The purposes of this research are to find a model to forecast the electricity consumption in a household and to find the most suitable forecasting period whether it should be in daily, weekly, monthly, or quarterly.The time series data in our study is the individual household electric power consumption [4].To explore and understand the dataset I used line plots for series data and histograms for the data distribution.The data analysis has been performed with the ARIMA (Autoregressive Integrated Moving Average) model.
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