Energy disaggregation of appliances consumptions using ham approach
H Liu, Q Zou, Z Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) makes it possible for users to track the energy
consumption of a household. In this paper, we present a new hybrid energy disaggregation …
consumption of a household. In this paper, we present a new hybrid energy disaggregation …
[HTML][HTML] Building plug load mode detection, forecasting and scheduling
In an era of increasing energy demands and environmental concerns, optimizing energy
consumption within buildings is crucial. Despite the vast improvements in HVAC and lighting …
consumption within buildings is crucial. Despite the vast improvements in HVAC and lighting …
An IoT-based gamified approach for reducing occupants' energy wastage in public buildings
Conserving energy amenable to the activities of occupants in public buildings is a
particularly challenging objective that includes associating energy consumption to particular …
particularly challenging objective that includes associating energy consumption to particular …
Device-level plug load disaggregation in a zero energy office building and opportunities for energy savings
B Doherty, K Trenbath - Energy and Buildings, 2019 - Elsevier
Along with heating, cooling, ventilation, and lighting, plug loads are one of the principal
consumers of energy in commercial buildings. Managing ever-changing plug loads is a …
consumers of energy in commercial buildings. Managing ever-changing plug loads is a …
An improved non-intrusive load disaggregation algorithm and its application
The non-intrusive load monitoring (NILM) method is proposed to acquire the energy
consumption of appliances in a building. Steady-state current decomposition is one of the …
consumption of appliances in a building. Steady-state current decomposition is one of the …
Applicability of using time series subsequences to study office plug load appliances
Energy management in offices requires efficient methods (eg non-intrusive load monitoring
techniques, NILM) to monitor the large number of workstations and office appliances. The …
techniques, NILM) to monitor the large number of workstations and office appliances. The …
Low-power appliance recognition using recurrent neural networks
AR Pratama, FJ Simanjuntak, A Lazovik… - … of Intelligent Systems, 2018 - ebooks.iospress.nl
Indoor energy consumption can be understood by breaking overall power consumption
down into individual components and appliance activations. The classification of …
down into individual components and appliance activations. The classification of …
Power-based device recognition for occupancy detection
Each person using electrical devices leaves electricity fingerprints in the form of power
consumption. These can be very useful for understanding the context of that person in, for …
consumption. These can be very useful for understanding the context of that person in, for …
Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review
Y Liu, Y Wang, J Ma - arXiv preprint arXiv:2403.06474, 2024 - arxiv.org
Non-Intrusive Load Monitoring (NILM) is pivotal in today's energy landscape, offering vital
solutions for energy conservation and efficient management. Its growing importance in …
solutions for energy conservation and efficient management. Its growing importance in …
[PDF][PDF] Classifying office plug load appliance events in the context of NILM using time-series data mining
B Kalluri, A Kamilaris, S Kondepudi… - Proceedings of the …, 2016 - superworld.cyens.org.cy
Smart building energy management requires knowledge of individual appliance operation
from reduced metering points. The key purpose of this study is to present a classification …
from reduced metering points. The key purpose of this study is to present a classification …