Journal
PROCESSES
Volume 9, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/pr9091539
Keywords
Artificial Intelligence; energy decomposition; smart city; smart meter
Categories
Funding
- Ministry of Science and Technology, Taiwan [MOST 109-2221-E-027-121-MY2, MOST 110-3116-F-006-001-, MOST 110-3116-F-027-001-]
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Smart meters allow for transmission of energy consumption data and enable consumer-centric use cases, but are unable to decompose energy consumption data into appliance-level data. The AI model introduced in the research can effectively perform energy decomposition in residential demand-side management.
The key advantage of smart meters over rotating-disc meters is their ability to transmit electric energy consumption data to power utilities' remote data centers. Besides enabling the automated collection of consumers' electric energy consumption data for billing purposes, data gathered by smart meters and analyzed through Artificial Intelligence (AI) make the realization of consumer-centric use cases possible. A smart meter installed in a domestic sector of an electrical grid and used for the realization of consumer-centric use cases is located at the entry point of a household/building's electrical grid connection and can gather composite/circuit-level electric energy consumption data. However, it is not able to decompose its measured circuit-level electric energy consumption into appliance-level electric energy consumption. In this research, we present an AI model, a neuro-fuzzy classifier integrated with partitional clustering and metaheuristically optimized through parallel-computing-accelerated evolutionary computing, that performs energy decomposition on smart meter data in residential demand-side management, where a publicly available UK-DALE (UK Domestic Appliance-Level Electricity) dataset is used to experimentally test the presented model to classify the On/Off status of monitored electrical appliances. As shown in this research, the presented AI model is effective at providing energy decomposition for domestic consumers. Further, energy decomposition can be provided for industrial as well as commercial consumers.
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