Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature
نویسندگان
چکیده
منابع مشابه
Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature
Monitoring electricity consumption in the home is an important way to help reduce energy usage. Nonintrusive Load Monitoring (NILM) is existing technique which helps us monitor electricity consumption effectively and costly. NILM is a promising approach to obtain estimates of the electrical power consumption of individual appliances from aggregate measurements of voltage and/or current in the d...
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Nonintrusive load monitoring (NILM) is a process of discerning what appliances are running within a house from processing the power or current signal of a smart meter. Since appliance states are not observed directly, hidden Markov models (HMM) are a natural choice for modelling NILM appliances. However, because the number of HMM states grows rapidly with the number of appliances and their inte...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2017
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2017/4216281