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Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2023 6 pages, EEEIC 2023 ...
Azad M. I. +2 more
openaire +3 more sources
Robust energy disaggregation using appliance-specific temporal contextual information [PDF]
, 2020 An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper.
Mporas, Iosif +2 more
core +3 more sources
Applications of IoT and digital twin in electrical power systems: A comprehensive survey
IET Generation, Transmission &Distribution, Volume 17, Issue 20, Page 4457-4479, October 2023., 2023 This paper reviews the applications of IoT and digital twin technology in electrical power systems. It begins by discussing the generalized IoT value chain, followed by the terminology of smart grid, with clarifying the role of IoT‐systems and the digital twin structure within the smart grid.
Diaa‐Eldin A. Mansour +7 more
wiley +1 more source
Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation [PDF]
, 2019 In this paper we evaluate several well-known and widely used machine learning algorithms for regression in the energy disaggregation task. Specifically, the Non-Intrusive Load Monitoring approach was considered and the K-Nearest-Neighbours, Support ...
Harell +3 more
core +2 more sources
IEEE Access, 2018 There are, in general, two methods of load monitoring which are intrusive load monitoring and non-intrusive load monitoring (NILM). The NILM method has attracted considerable research interests, since it only requires a set of voltage and current sensors
Victor Andrean +4 more
doaj +1 more source
IET Smart Cities, Volume 5, Issue 3, Page 173-193, September 2023., 2023 This work proposes a state‐of‐art approach that tackles multiple challenges, aiming to energy efficiency, electricity cost reduction, user comfort and load monitoring of a typical Greek residency (simulated in EnergyPlus), including both controllable and uncontrollable loads, an energy storage system and power generation units. Abstract The increase in
Christos Tsaknakis +7 more
wiley +1 more source
Smart Home Electric Energy Management Using Non-Intrusive Appliance Load Monitoring (NILM)
Journal of Software Engineering, Information and Communication Technology (SEICT), 2021 Reducing the use of electrical energy in everyday life can be done with the awareness of the user. Awareness of using electrical energy can be done by providing information about the use of electricity itself. In developing a smart home with energy management systems or other commercial electronic devices, a tool that can measure or sort electricity ...
Nurman Hariyanto +2 more
openaire +2 more sources
Energy Science &Engineering, Volume 11, Issue 7, Page 2535-2551, July 2023., 2023 The main contribution of this work can be summarized as follows: (1) The nonintrusive load monitoring (NILM) technique is used to improve the energy efficiency in smart homes due to the flexibility, simplicity, and efficiency of its parameter estimation algorithm. (2) The particle swarm optimization (PSO) with the artificial neural network is used as a
R. Ramadan +6 more
wiley +1 more source
Evaluation of the impact of the electric network's quality on the appliance's signatures
The Journal of Engineering, Volume 2023, Issue 1, January 2023., 2023 This article focused on the evaluation of the impact of the network's quality on the Loads’ profiles. Knowing the network dependence on environmental factors, user habits and other non‐deterministic factors, it is important to assess the impact that faults could have on load signatures in order to take this into account in the development of ...
Gisele Beatrice Sonfack, Philippe Ravier
wiley +1 more source
Metadata for Energy Disaggregation [PDF]
, 2014 Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand.
Kelly, Jack, Knottenbelt, William
core +3 more sources