The Use of Demand Modelling for Community Energy Analysis

Peter McCallum; Sandhya Patidar; David Jenkins; Andrew Peacock; Valentin Robu; Merlinda Andoni; David Flynn

doi:10.1109/ISCAS.2018.8351797

The Use of Demand Modelling for Community Energy Analysis

Peter McCallum
, Sandhya Patidar
, David Jenkins
, Andrew Peacock
, Valentin Robu
, Merlinda Andoni
, David Flynn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

126 Downloads (Pure)

Abstract

In this paper the challenges of creating accurate, scalable and usable energy demand models are discussed, along with a review of simulation and data driven energy demand models. Seminal results from high resolution bottom-up data and simulation based energy demand analysis from a community energy project are provided. A novel Hidden Markov Modelling (HMM) and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at five minute resolution. Utilising building simulation software, IES-VE, dynamic thermal demand modelling for varying archetypes using hourly data is also evaluated against in-situ thermal measurements.

Original language	English
Title of host publication	2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
ISBN (Electronic)	9781538648810
DOIs	https://doi.org/10.1109/ISCAS.2018.8351797
Publication status	Published - 4 May 2018
Event	2018 IEEE International Symposium on Circuits and Systems - Florence Congress Centre, Florence, Italy Duration: 27 May 2018 → 30 May 2018 http://www.iscas2018.org/

Publication series

Name	IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
ISSN (Electronic)	2379-447X

Conference

Conference	2018 IEEE International Symposium on Circuits and Systems
Abbreviated title	ISCAS 2018
Country/Territory	Italy
City	Florence
Period	27/05/18 → 30/05/18
Internet address	http://www.iscas2018.org/

Keywords

ENERGY DEMAND
Data analysis
energy system

Access to Document

10.1109/ISCAS.2018.8351797

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Cite this

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title = "The Use of Demand Modelling for Community Energy Analysis",

abstract = "In this paper the challenges of creating accurate, scalable and usable energy demand models are discussed, along with a review of simulation and data driven energy demand models. Seminal results from high resolution bottom-up data and simulation based energy demand analysis from a community energy project are provided. A novel Hidden Markov Modelling (HMM) and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at five minute resolution. Utilising building simulation software, IES-VE, dynamic thermal demand modelling for varying archetypes using hourly data is also evaluated against in-situ thermal measurements. ",

keywords = "ENERGY DEMAND, Data analysis, energy system",

author = "Peter McCallum and Sandhya Patidar and David Jenkins and Andrew Peacock and Valentin Robu and Merlinda Andoni and David Flynn",

note = "Your paper number 2777 entitled {"}The Use of Demand Modelling for Community Energy Analysis{"}, has been accepted for presentation at the 2018 IEEE International Symposium on Circuits and Systems, to be held in Florence, Italy from May 27-30. We look forward to your participation and presentation at ISCAS 2018. Your paper has been assigned to the Modelling \& Dynamics of Power Systems Poster session C5P-Q. The full Conference schedule will be available on the ISCAS 2018 web site very soon. Be sure to check the conference web site (http://www.iscas2018.org) often as important information is posted regularly on this site. If there are additional co-authors for this paper, please make sure to inform them of this decision.; 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018",

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McCallum, P, Patidar, S , Jenkins, D , Peacock, A, Robu, V, Andoni, M & Flynn, D 2018, The Use of Demand Modelling for Community Energy Analysis. in 2018 IEEE International Symposium on Circuits and Systems (ISCAS)., 8351797, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2018 IEEE International Symposium on Circuits and Systems, Florence, Italy, 27/05/18. https://doi.org/10.1109/ISCAS.2018.8351797

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AU - Peacock, Andrew

AU - Robu, Valentin

AU - Andoni, Merlinda

AU - Flynn, David

N1 - Your paper number 2777 entitled "The Use of Demand Modelling for Community Energy Analysis", has been accepted for presentation at the 2018 IEEE International Symposium on Circuits and Systems, to be held in Florence, Italy from May 27-30. We look forward to your participation and presentation at ISCAS 2018. Your paper has been assigned to the Modelling & Dynamics of Power Systems Poster session C5P-Q. The full Conference schedule will be available on the ISCAS 2018 web site very soon. Be sure to check the conference web site (http://www.iscas2018.org) often as important information is posted regularly on this site. If there are additional co-authors for this paper, please make sure to inform them of this decision.

PY - 2018/5/4

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N2 - In this paper the challenges of creating accurate, scalable and usable energy demand models are discussed, along with a review of simulation and data driven energy demand models. Seminal results from high resolution bottom-up data and simulation based energy demand analysis from a community energy project are provided. A novel Hidden Markov Modelling (HMM) and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at five minute resolution. Utilising building simulation software, IES-VE, dynamic thermal demand modelling for varying archetypes using hourly data is also evaluated against in-situ thermal measurements.

AB - In this paper the challenges of creating accurate, scalable and usable energy demand models are discussed, along with a review of simulation and data driven energy demand models. Seminal results from high resolution bottom-up data and simulation based energy demand analysis from a community energy project are provided. A novel Hidden Markov Modelling (HMM) and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at five minute resolution. Utilising building simulation software, IES-VE, dynamic thermal demand modelling for varying archetypes using hourly data is also evaluated against in-situ thermal measurements.

KW - ENERGY DEMAND

KW - Data analysis

KW - energy system

U2 - 10.1109/ISCAS.2018.8351797

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M3 - Conference contribution

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PB - IEEE

T2 - 2018 IEEE International Symposium on Circuits and Systems

Y2 - 27 May 2018 through 30 May 2018

ER -

The Use of Demand Modelling for Community Energy Analysis

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Keywords

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