Results 21 to 30 of about 24,815 (274)

An Implementation Framework Overview of Non-Intrusive Load Monitoring

open access: yesJournal of Sustainable Development of Energy, Water and Environment Systems, 2023
The implementation of non-intrusive load monitoring has gained significant attention as a promising solution for disaggregating and identifying individual appliances' energy consumption within households and commercial buildings. The issue at the core of
Omar Al-Khadher   +4 more
doaj   +1 more source

Metadata for Energy Disaggregation [PDF]

open access: yes, 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

Heating and Lighting Load Disaggregation Using Frequency Components and Convolutional Bidirectional Long Short-Term Memory Method

open access: yesEnergies, 2021
Load disaggregation for the identification of specific load types in the total demands (e.g., demand-manageable loads, such as heating or cooling loads) is becoming increasingly important for the operation of existing and future power supply systems ...
Mingzhe Zou   +4 more
doaj   +1 more source

Low-Power Appliance Monitoring Using Factorial Hidden Markov Models [PDF]

open access: yes, 2013
To optimize the energy utilization, intelligent energy management solutions require appliance-specific consumption statistics. One can obtain such information by deploying smart power outlets on every device of interest, however it incurs extra hardware ...
Gluhak, Alexander   +3 more
core   +1 more source

Pre-Processing of Energy Demand Disaggregation Based Data Mining Techniques for Household Load Demand Forecasting

open access: yesInventions, 2018
Demand side management has a vital role in supporting the demand response in smart grid infrastructure, in the decision-making of energy management, in household applications is significantly affected by the load-forecasting accuracy.
Ahmed F. Ebrahim, Osama A. Mohammed
doaj   +1 more source

Load Disaggregation Using One-Directional Convolutional Stacked Long Short-Term Memory Recurrent Neural Network [PDF]

open access: yes, 2020
Reliable information about the active loads in the energy system allows for effective and optimized energy management. An important aspect of intelligent energy monitoring system is load disaggregation.
Logenthiran, Thillainathan   +2 more
core   +1 more source

Optimising Parameters in Recurrence Quantification Analysis of Smart Energy Systems [PDF]

open access: yes, 2018
Recurrence Quantification Analysis (RQA) can help to detect significant events and phase transitions of a dynamical system, but choosing a suitable set of parameters is crucial for the success.
Giasemidis, Georgios   +1 more
core   +3 more sources

Non-Intrusive Load Monitoring Based on Unsupervised Optimization Enhanced Neural Network Deep Learning

open access: yesFrontiers in Energy Research, 2021
Non-intrusive load monitoring has broad application prospects because of its low implementation cost and little interference to energy users, which has been highly expected in the industrial field recently due to the development of learning algorithms ...
Yu Liu   +4 more
doaj   +1 more source

Simultaneous Estimation of Behind-the-Meter Solar and Wind Power at the Bulk Supply Point

open access: yesIEEE Access, 2022
The presence of distributed energy resources in private premises has observed a large deployment worldwide driven by favorable governmental policies and technology development.
Xueqin Liu   +6 more
doaj   +1 more source

Energy Disaggregation for Real-Time Building Flexibility Detection [PDF]

open access: yes, 2016
Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid.
Gibescu, Madeleine   +2 more
core   +4 more sources

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