@inproceedings{b3056bdb83314d64bd4386fb9aa7948a,
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, in the context of existing simulation and data driven energy demand models. 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 and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at a temporal resolution of five minutes. The corresponding dynamic thermal demands for the various building archetypes within the community are also modelled. This is achieved using automated externally driven IES-VE (building simulation) models for arrays of control profiles, and is also compared against in-situ thermal measurements.",
keywords = "aggreation, data analysis, energy demand, thermal modelling",
author = "Peter McCallum and Sandhya Patidar and David Jenkins and Andrew Peacock and Valentin Robu and Merlinda Andoni and David Flynn",
year = "2018",
month = apr,
day = "26",
doi = "10.1109/ISCAS.2018.8351797",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings",
address = "United States",
note = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018",
}