Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Load Disaggregation"”.
-
Electrical Load Disaggregation and Demand Response in Commercial Buildings
… (DR) is a method involving the curtailment of loads during critical peak load hours, that restores that balance between demand and supply of electricity. In order to implement DR and ensure efficient energy operation of buildings, detailed energy monitoring is essential. This information can …
-
Semi-Supervised Deep Learning Frameworks for Transmission-Scale Load Disaggregation and Behind-the-meter Solar Prediction
… Operators (RTOs) to accurately extract load profiles for nodes with substantial BTM solar injection. This dissertation presents novel transmission-scale load disaggregation and BTM solar prediction frameworks, addressing lack of visibility for and enhancing situational awareness for …
-
Nonintrusive load disaggregation computer program to estimate the energy consumption of major end-uses in residential buildings
… related computer program for the nonintrusive load disaggregation of total-household electric load into its end-uses. The computer program estimates the energy consumption of individual electric appliances in a house based on the analysis of the current measured at the house-power source …
-
Analysis and techniques for non-intrusive appliance load monitoring.
… created interests in home energy monitoring. Load disaggregation using a single sensing point is considered a cost-effective way to sense individual appliance operation as opposed to using dedicated sensors for appliance monitoring. The aim of this thesis is to investigate the effectiveness of …
-
A Deep Learning-based Dynamic Demand Response Framework
… performs three major functionalities: electrical load forecast, electrical load disaggregation and peak load reduction during DR periods. The building-level electrical load forecasting quantifies required peak load reduction during DR periods. The electrical load disaggregation provides …
-
Non-Intrusive Load Monitoring with Canopy Clustering
… usage within the premises through Non-Intrusive Load Monitoring (NILM). The thesis provides a detailed description of the work undertaken to develop a novel method of load disaggregation within NILM to aid in the monitoring of energy usage and the provision of consumer feedback which can be …
-
A load identification and diagnostic framework for aggregate power monitoring
… of data from the operation of electromechanical loads, such as measurements of power, torque, vibration, and acoustic signals. These measurements can act as unique identifiers for the early identification of degrading system performance, providing a rich feature space for fault detection and …
-
Optimal sizing of solar and battery assets in decentralized micro-grids with demand-side management
… representative, aggregated, household-level load profiles combined with simulated power output from solar photovoltaic modules and the kinetic operating constraints of lead-acid batteries at hourly timesteps over year-long simulations. The state-space for solutions is based on available solar …
-
Adaptive Health Monitoring Using Aggregated Energy Readings from Smart Meters
… smart meter records accurately the electrical load for a given property at 10 second intervals, 24 hours a day. This granular data captures detailed habits and routines through user interactions with electrical devices. The research presented in this thesis exploits this infrastructure by using …
-
Time-frequency analysis techniques for non-intrusive load monitoring
… the features contained within the electrical load signals. A novel approach that is based on wavelet design was utilized to generate a wavelet library which was used to match each load signal to a specific wavelet using Procrustes and covariance analysis. In order to automate the load …