A voltage and current measurement dataset for plug load appliance identification in households
This paper presents the Plug-Load Appliance Identification Dataset (PLAID), a labelled
dataset containing records of the electrical voltage and current of domestic electrical …
dataset containing records of the electrical voltage and current of domestic electrical …
BLOND, a building-level office environment dataset of typical electrical appliances
T Kriechbaumer, HA Jacobsen - Scientific data, 2018 - nature.com
Energy metering has gained popularity as conventional meters are replaced by electronic
smart meters that promise energy savings and higher comfort levels for occupants …
smart meters that promise energy savings and higher comfort levels for occupants …
A cyber-physical approach for residential energy management: Current state and future directions
In this work, we an envision Home Energy Management System (HEMS) as a Cyber-
Physical System (CPS) architecture including three stages: Data Acquisition …
Physical System (CPS) architecture including three stages: Data Acquisition …
Design and implementation of a low-cost power logger device for specific demand profile analysis in demand-side management studies for smart grids
R Çakmak - Expert Systems with Applications, 2024 - Elsevier
Demand-side management is vital for achieving a balance between electricity demand and
generation, ensuring a reliable grid. Achieving this balance necessitates a deep …
generation, ensuring a reliable grid. Achieving this balance necessitates a deep …
Recurrent LSTM architecture for appliance identification in non-intrusive load monitoring
L de Diego-Otón, D Fuentes-Jimenez… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Non-Intrusive Load Monitoring (NILM) techniques are commonly used to measure and
identify the power consumption of different types of household appliances, starting from an …
identify the power consumption of different types of household appliances, starting from an …
Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment
To support a rational and efficient use of electrical energy in residential and industrial
environments, Non-Intrusive Load Monitoring (NILM) provides several techniques to identify …
environments, Non-Intrusive Load Monitoring (NILM) provides several techniques to identify …
Yomopie: A user-oriented energy monitor to enhance energy efficiency in households
C Klemenjak, S Jost… - 2018 IEEE Conference on …, 2018 - ieeexplore.ieee.org
Computational methods for the enhancement of energy efficiency rely on a measurement
process with sufficient accuracy and number of measurements. Networked energy meters …
process with sufficient accuracy and number of measurements. Networked energy meters …
Waveform signal entropy and compression study of whole-building energy datasets
T Kriechbaumer, D Jorde, HA Jacobsen - Proceedings of the Tenth ACM …, 2019 - dl.acm.org
Electrical energy consumption has been an ongoing research area since the coming of
smart homes and Internet of Things. Consumption characteristics and usages profiles are …
smart homes and Internet of Things. Consumption characteristics and usages profiles are …
Appliance classification across multiple high frequency energy datasets
Non-intrusive load monitoring (NILM) provides several techniques for demand information
retrieval to support consumers saving energy usage. Research in NILM often focuses on …
retrieval to support consumers saving energy usage. Research in NILM often focuses on …
Electrical appliance classification using deep convolutional neural networks on high frequency current measurements
D Jorde, T Kriechbaumer… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Monitoring the energy demand of appliances can raise consumer awareness and therefore
reduce energy consumption. Using a single-point measurement of mains energy …
reduce energy consumption. Using a single-point measurement of mains energy …