Smart Meter Reference Load Profiles and Peak Demand Models

Paula Carroll; Fábio Silva; Farah Tahir; Brian O’Regan; Pádraig Lyons

doi:10.1007/978-3-031-78238-1_33

Smart Meter Reference Load Profiles and Peak Demand Models

Paula Carroll
, Fábio Silva
, Farah Tahir
, Brian O’Regan
, Pádraig Lyons

Tyndall IPES (IERC)

University College Dublin

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand.

Original language	English
Title of host publication	Decision Science Alliance International Summer Conference
Pages	361-375
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-031-78238-1_33
Publication status	Published - 2025
Event	2nd Decision Science Alliance International Summer Conference, DSA ISC 2024 - Valencia, Spain Duration: 6 Jun 2024 → 7 Jun 2024

Publication series

Name	Lecture Notes in Computer Science ((LNCS,volume 14778))

Conference

Conference	2nd Decision Science Alliance International Summer Conference, DSA ISC 2024
Country/Territory	Spain
City	Valencia
Period	6/06/24 → 7/06/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Peak Demand Model
Reference Load Profile
Smart Grid

Access to Document

10.1007/978-3-031-78238-1_33

Cite this

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title = "Smart Meter Reference Load Profiles and Peak Demand Models",

abstract = "Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand.",

keywords = "Peak Demand Model, Reference Load Profile, Smart Grid",

author = "Paula Carroll and F{\'a}bio Silva and Farah Tahir and Brian O{\textquoteright}Regan and P{\'a}draig Lyons",

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Carroll, P, Silva, F, Tahir, F, O’Regan, B & Lyons, P 2025, Smart Meter Reference Load Profiles and Peak Demand Models. in Decision Science Alliance International Summer Conference. Lecture Notes in Computer Science ((LNCS,volume 14778)), pp. 361-375, 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, 6/06/24. https://doi.org/10.1007/978-3-031-78238-1_33

TY - GEN

T1 - Smart Meter Reference Load Profiles and Peak Demand Models

AU - Carroll, Paula

AU - Silva, Fábio

AU - Tahir, Farah

AU - O’Regan, Brian

AU - Lyons, Pádraig

PY - 2025

Y1 - 2025

N2 - Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand.

AB - Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand.

KW - Peak Demand Model

KW - Reference Load Profile

KW - Smart Grid

UR - https://www.scopus.com/pages/publications/85219173068

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DO - 10.1007/978-3-031-78238-1_33

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T3 - Lecture Notes in Computer Science ((LNCS,volume 14778))

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BT - Decision Science Alliance International Summer Conference

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