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A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems. [PDF]

Sci Rep
Singh AR, Sujatha MS, Kadu AD, Bajaj M, Addis HK, Sarada K.   +5 more
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Robust Non-Intrusive Load Monitoring (NILM) with unknown loads

2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016
A Non-Intrusive Load Monitoring (NILM) method, robust even in the presence of unlearned or unknown appliances (UUAs) is presented in this paper. In the absence of such UUAs, this NILM algorithm is capable of accurately identifying each of the turned-ON appliances as well as their energy levels. However, when there is an UUA or set of UUAs are turned-ON
Shirantha Welikala, Chinthaka Dinesh, Roshan Indika Godaliyadda, Mervyn Parakrama B. Ekanayake, Janaka Ekanayake   +4 more
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Development of a Non-Intrusive Load Monitoring (NILM) with Unknown Loads using Support Vector Machine

2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS), 2021
Non-intrusive load monitoring is the process of recognizing and identifying electrical devices and its energy consumption on the entire electrical system through "power signatures". In this process, the aggregated load information is obtained from a single point of measurement.
Anjon S. Hernandez, Alejandro H. Ballado, Aaron Paulo D. Heredia   +2 more
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Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems

Neurocomputing, 2012
Electrical load disaggregation for end-use recognition in the smart home has become an area of study of its own right. The most well-known examples are energy monitoring, health care applications, in-home activity modeling, and home automation. Real-time energy-use analysis for whole-home approaches needs to understand where and when the electrical ...
Marisa Figueiredo, Ana de Almeida, Bernardete Ribeiro   +2 more
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Appliance Water Disaggregation via Non-intrusive Load Monitoring (NILM)

2016
The world’s fresh water supply is rapidly dwindling. Informing homeowners of their water use patterns can help them reduce consumption. Today’s smart meters only show a whole house’s water consumption over time. People need to be able to see where they are using water most to be able to change their habits.
Bradley Ellert, Stephen Makonin, Fred Popowich   +2 more
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Non-Intrusive Load Monitoring (NILM) – A Recent Review with Cloud Computing

2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), 2019
Issues of energy crisis and global warming push implementation of energy efficiency policies and programs as important mitigation efforts, particularly at consumer level. Load monitoring (LM) serves to furnish real-time feedback consumption information for the measures of efficient energy management strategies.
Keh-Kim Kee, Yun Seng Lim, Jianhui Wong, Kein Huat Chua   +3 more
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MMNet-NILM: Multi-Target MobileNets for non-intrusive load monitoring

Journal of Intelligent & Fuzzy Systems
Energy is a critical resource for daily activities and lifestyles with direct impacts on the economy, health and environment. Therefore, monitoring its efficient use is essential to reduce energy waste and lessen related concerns such as global warming and climate change.
Ayub, Mohammed, El-Alfy, El-Sayed M.
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Replication Data for: PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring

2020
Contains replication data for IEEE Access publication entitled "PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring"
Pereira, Lucas, Gomes, Eduardo
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Investigating the switch continuity principle assumed in Non-Intrusive Load Monitoring (NILM)

2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016
Non-Intrusive Load Monitoring (NILM) researchers have always assumed the switch continuity principle (SCP), which assumes that only one appliance ever changes state at any given point in time. However, SCP cannot be relied upon 100% of the time, especially when unsupervised NILM is used to guess what appliances might be in a house.
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