Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review
S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …
and cost saving. An economical and viable solution would be to estimate individual …
Smart solutions shape for sustainable low-carbon future: A review on smart cities and industrial parks in China
To promote sustainable urban development and green industrial process are critical
solutions for sustainable and low-carbon society transition in China, considering the …
solutions for sustainable and low-carbon society transition in China, considering the …
Non-intrusive load disaggregation using graph signal processing
With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …
for the individual contribution of appliances to the load demand. In this paper, we design a …
Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption
Energy sustainability is one of the key questions that drive the debate on cities' and urban
areas development. In parallel, artificial intelligence and cognitive computing have emerged …
areas development. In parallel, artificial intelligence and cognitive computing have emerged …
On a training-less solution for non-intrusive appliance load monitoring using graph signal processing
With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …
a household's total energy consumption down to individual appliances using analytical …
[HTML][HTML] Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model
X Zhou, J Feng, Y Li - Energy Reports, 2021 - Elsevier
With the rapid development of science and technology, the problem of energy load
monitoring and decomposition of electrical equipment has been receiving widespread …
monitoring and decomposition of electrical equipment has been receiving widespread …
A hybrid signature-based iterative disaggregation algorithm for non-intrusive load monitoring
Abstract Information on residential power consumption patterns disaggregated at the single-
appliance level is an essential requirement for energy utilities and managers to design …
appliance level is an essential requirement for energy utilities and managers to design …
A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing
The dynamic nature of chemical processes and manufacturing environments, along with
numerous machines, their unique activity states, and mutual interactions, render challenges …
numerous machines, their unique activity states, and mutual interactions, render challenges …
An overview of non-intrusive load monitoring: Approaches, business applications, and challenges
Load Monitoring (LM) is a fundamental step to implement effective energy management
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …
A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems
Accurate and timely carbon emission accounting (CEA) is vital to industrial corporations,
especially those who participate in the carbon market. With the rapid development of …
especially those who participate in the carbon market. With the rapid development of …