eprintid: 687
rev_number: 10
eprint_status: archive
userid: 14
dir: disk0/00/00/06/87
datestamp: 2015-07-08 11:28:12
lastmod: 2015-07-08 11:28:12
status_changed: 2015-07-08 11:28:12
type: report
metadata_visibility: show
creators_name: Bokharaie, V.
creators_name: Carroll, P.
creators_name: Devine, M.
creators_name: Fennell, P.
creators_name: Gleeson, J.
creators_name: Hayes, K.
creators_name: Hunter, G.
creators_name: Idiak, J.
creators_name: Lee, W.
creators_name: Lynch, J.
creators_name: Mason, J.
creators_name: Nowotarski, J.
creators_name: O'Connell, M.
creators_name: O'Sullivan, D.
creators_name: Tomczyk, J.
creators_name: Ward, J.
creators_name: Anson Yan, L.T.
creators_name: Finn, P.
title: Electricity Exchange: Demand Side Unit performance monitoring
ispublished: pub
subjects: decision
subjects: utilities
studygroups: esgi93
companyname: Demand Side Response
full_text_status: public
abstract: Demand Side Response management encourages elec- tricity demand reduction during peak hours. One avenue for achieving this is through Demand Side Units (DSUs). These are large electricity consumers who can afford to reduce their demand on the electricity grid when required. Issues with DSUs revolve around verification that the correct demand reduction takes place, with limited monitoring capabilities from the electrical grid operator Eir- Grid. This issue is studied here with the current methods thoroughly analysed and new methods proposed. In this report six different forecasting methods are presented, and their accuracy is compared using two different error metrics. Due to inherent stochasticity in demand it is found that there is no one fore- casting method which is unequivocally best, but the ‘Keep it simple’ weekly and the temperature dependent models are identified as the most promising models to pursue. Initial investigations suggest that a ‘proxy day’ mechanism may be preferable to the current method of verifying that the correct demand reduction takes place.
date: 2013
citation:   Bokharaie, V. and Carroll, P. and Devine, M. and Fennell, P. and Gleeson, J. and Hayes, K. and Hunter, G. and Idiak, J. and Lee, W. and Lynch, J. and Mason, J. and Nowotarski, J. and O'Connell, M. and O'Sullivan, D. and Tomczyk, J. and Ward, J. and Anson Yan, L.T. and Finn, P.  (2013) Electricity Exchange: Demand Side Unit performance monitoring.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/687/1/ElectricityExchange_MACSIreport.pdf