Evaluation of time series techniques to characterise domestic electricity demand

By Fintan McLoughlin, A. Duffy, Michael F. Conlon. 2013

114 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/e33ef56b0390c928c0b8469ae38f860d9f0c20f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. A. Duffy
2. Fintan McLoughlin
3. Michael F. Conlon
4. Rory Jones
5. K. Lomas

In Renewable Energy, Sustainability and the Environment

1. A. Duffy
2. Fintan McLoughlin
3. Michael F. Conlon
4. Rory Jones
5. K. Lomas

Citations in the corpus

• A clustering approach to domestic electricity load profile characterisation using smart metering data (2015, background): “In contrast time 137 series approaches have been limited in their application to domes138 tic households, but this is most likely due to a historical lack of 139 available data for the sector [7].”