Forecasting Household Electricity Consumption Using Time Series Models

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Functional Time series (FTS) Forecasting of Electricity Consumption in Pakistan

Electricity is one of the most important sources for economic and social development of a country. The growth in energy consumption is basically linked with the growth in economy. Energy demand increases due to different reasons, including higher Gross Domestic Product (GDP) growth, higher per capita consumption, the population growth and rapid development of industrial & commercial sectors. In...

متن کامل

Time series forecasting using CCA and Kohonen maps - application to electricity consumption

A general-purpose useful parameter in time series forecasting is the regressor, corresponding to the minimum number of variables necessary to forecast the future values of the time series. If the models used are non linear, the choice of this regressor becomes very difficult. We will show a quasiautomatic method using Curvilinear Component Analysis to build it. This method will be applied to el...

متن کامل

Further Advances in Forecasting Day-Ahead Electricity Prices Using Time Series Models

Forecasting prices in electricity markets is critical for consumers and producers in planning their operations and managing their price risk. We utilize the generalized autoregressive conditionally heteroskedastic (GARCH) method to forecast the electricity prices in two regions of New York: New York City and Central New York State. We contrast the one-day forecasts of the GARCH against techniqu...

متن کامل

Household Electricity Consumption Data Cleansing

Load curve data in power systems refers to users’ electrical energy consumption data periodically collected with meters. It has become one of the most important assets for modern power systems. Many operational decisions are made based on the information discovered in the data. Load curve data, however, usually suffers from corruptions caused by various factors, such as data transmission errors...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Machine Learning and Computing

سال: 2021

ISSN: ['2010-3700']

DOI: https://doi.org/10.18178/ijmlc.2021.11.6.1065