Data-Driven Load Modeling and Forecasting of Residential Appliances
نویسندگان
چکیده
منابع مشابه
Residential Power Load Forecasting
The prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for each end user. This method of forecasting is called ...
متن کاملUnsupervised Non-Intrusive Load Monitoring of Residential Appliances
Non-Intrusive Load Monitoring (NILM) is a technique in which electrical appliances are monitored through the disaggregation of the aggregate electrical signal gathered from a single metering point. NILM has recently attracted wide interest in research for application in both the commercial and residential sectors. In this paper, a completely unsupervised NILM system is proposed for application ...
متن کاملResearch in Residential Electricity Characteristics and Short-Term Load Forecasting
In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity. We use SPSS (Statistic Package for Social Science) to figure out the relationship between the daily load and temperature, weather conditions ...
متن کاملModeling and Forecasting Intraday Electricity Load
This paper aims models electricity load curves for short-term forecasting purposes. A broad class of multivariate dynamic regression model is proposed to model hourly electricity load. Alternative forecasting models, special cases of our general model, include separate time series regressions for each hour and week day. All the models developed include components that represent trends, seasons ...
متن کاملAn Approach for Unsupervised Non-Intrusive Load Monitoring of Residential Appliances
Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregate power consumption of electric loads in order to recognize the existence and the consumption profile of each individual appliance. In this paper, we briefly describe our ongoing research on an unsupervised NILM system suitable for applications in the residential sector. The proposed system consists of the typical stages...
متن کاملذخیره 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: IEEE Transactions on Smart Grid
سال: 2020
ISSN: 1949-3053,1949-3061
DOI: 10.1109/tsg.2019.2959770