A generative model for non-Intrusive load monitoring in commercial buildings
نویسندگان
چکیده
منابع مشابه
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings
In the recent years, there has been an increasing academic and industrial interest for analyzing the electrical consumption of commercial buildings. Whilst having similarities with the Non Intrusive Load Monitoring (NILM) tasks for residential buildings, the nature of the signals that are collected from large commercial buildings introduces additional difficulties to the NILM research causing e...
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Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating the total electricity consumption of a building as measured at single point into the building’s constituent loads. Previous research in the field has mostly focused on residential buildings, and although the potential benefits of applying this technology to commercial buildings have been recognised sinc...
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Non-Intrusive Load Monitoring (NILM) is a technique that determines the load composition of a household through a single point of measurement at the main power feed. Here we presented an unsupervised approach to determine the number of appliances in the household, their power consumption and the state of each one at any given moment.
متن کاملNon-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms
Increased interest in energy scorekeeping, load forecasting and improved control of electricity-consuming equipment has focused attention on the instrumentation required to obtain the desired data. Work performed by the authors and other researchers has shown that individual loads can be detected and separated from rapid sampling of power at a single point serving a number of pieces of equipmen...
متن کاملEvolving Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) identifies used appliances in a total power load according to their individual load characteristics. In this paper we propose an evolutionary optimization algorithm to identify appliances, which are modeled as on/off appliances. We evaluate our proposed evolutionary optimization by simulation with Matlab, where we use a random total load and randomly generat...
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ژورنال
عنوان ژورنال: Energy and Buildings
سال: 2018
ISSN: 0378-7788
DOI: 10.1016/j.enbuild.2018.07.060