Enhancing household-level load forecasts using daily load profile clustering

Forecasting the electricity demand for individual households is important for both consumers and utilities due to the increasing decentralized nature of the electricity system. Particularly, utilities often have very little information about their consumers except for aggregate building level loads,...

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Bibliographic Details
Main Authors: Edward Barbour, Marta Gonzalez
Format: Default Conference proceeding
Published: 2018
Subjects:
Mechanical engineering not elsewhere classified
Smart meter data
Clustering analysis
Load forecasting
Regression analysis
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/36987
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forecasting 1

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https://hdl.handle.net/2134/36987

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