Published Report Details
Mandatory Fields
O’Connell, M.M., Bokharaie, V, Carroll, P, Devine, M, Fennell, P, Gleeson, J, Hayes, K, Hunter, G, Idiak, J, Lee, W, Lynch, J, Mason, J, Nowotarski, J, O’Sullivan, D, Tomczyk, J, Ward, J, Yan, L.T.A, and Finn P.
2013
August
Electricity Exchange Demand Side Unit Performance Monitoring
Mathematics Applications Consortium for Science & Industry (MACSI), University of Limerick
93rd European Study Group with Industry
Unpublished
0
Optional Fields
                                                            

Demand Side Response management encourages electricity 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 EirGrid. 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 forecasting 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.

Keywrds: : Data Analysis, Prediction Models, Demand Side Response Management

                  

Grant Details
Innovation Voucher, Entreprise Ireland.