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 languageEnglish
Title of host publication2018 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
ISBN (Electronic)9781538648810
DOIs
Publication statusPublished - 4 May 2018
Event2018 IEEE International Symposium on Circuits and Systems - Florence Congress Centre, Florence, Italy
Duration: 27 May 201830 May 2018
http://www.iscas2018.org/

Publication series

NameIEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
ISSN (Electronic)2379-447X

Conference

Conference2018 IEEE International Symposium on Circuits and Systems
Abbreviated titleISCAS 2018
CountryItaly
CityFlorence
Period27/05/1830/05/18
Internet address

Fingerprint

Hot Temperature

Keywords

  • ENERGY DEMAND
  • Data analysis
  • energy system

Cite this

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. https://doi.org/10.1109/ISCAS.2018.8351797
McCallum, Peter ; Patidar, Sandhya ; Jenkins, David ; Peacock, Andrew ; Robu, Valentin ; Andoni, Merlinda ; Flynn, David. / The Use of Demand Modelling for Community Energy Analysis. 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. (IEEE International Symposium on Circuits and Systems (ISCAS)).
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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.",
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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

The Use of Demand Modelling for Community Energy Analysis. / McCallum, Peter; Patidar, Sandhya; Jenkins, David; Peacock, Andrew; Robu, Valentin; Andoni, Merlinda; Flynn, David.

2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. 8351797 (IEEE International Symposium on Circuits and Systems (ISCAS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The Use of Demand Modelling for Community Energy Analysis

AU - McCallum, Peter

AU - Patidar, Sandhya

AU - Jenkins, David

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

Y1 - 2018/5/4

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.

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KW - Data analysis

KW - energy system

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PB - IEEE

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McCallum P, Patidar S, Jenkins D, Peacock A, Robu V, Andoni M et al. The Use of Demand Modelling for Community Energy Analysis. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE. 2018. 8351797. (IEEE International Symposium on Circuits and Systems (ISCAS)). https://doi.org/10.1109/ISCAS.2018.8351797