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Residential Electricity Load Forecasting using NILM information
Karimzadeh, Mohammad.
2023
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Description
Thesis (Ph.D.)--Tufts University, 2023.
Submitted to the Dept. of Electrical Engineering.
Advisor: Karen Panetta.
Committee: George Zavaliagkos, Ronald Lasser, and Aleksandar Stankovic.
Keyword: Energy.
This object is in collection
Theses and Dissertations
School of Engineering Scholarship
Creator department
Tufts University. Department of Electrical and Computer Engineering.
Subject
Electric power consumption
Electric power consumption--Forecasting
Genre
Tufts dissertations and theses.
Academic theses.
Permanent URL
http://hdl.handle.net/10427/VH53X972K
Contributors
Panetta, Karen
ID:
vh53x972k
To Cite:
TARC Citation Guide
EndNote