Probabilistic generation of time-coupled aggregate residential demand patterns

Intisar Ali Sajjad, Roberto Napoli, Gianfranco Chicco
  • IET Generation Transmission & Distribution, March 2015, the Institution of Engineering and Technology (the IET)
  • DOI: 10.1049/iet-gtd.2014.0750

Aggregate residential electrical demand pattern generation

What is it about?

How to generate meaningful patterns of aggregate residential electrical demand? One of the problems is that the sequence of points in time cannot be formed by choosing the successive points independently of each other. This paper describes a procedure for representing the characteristics of the sequence of points in time.

Why is it important?

You may need to generate reasonable scenarios with a number of patterns representing a given number of aggregate residential patterns during time. The coupling-in-time between the points of the time series cannot be ignored.

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The following have contributed to this page: Professor Gianfranco Chicco