Multi-nodal short-term energy forecasting using smart meter data
Hayes, Barry P.
Gruber, Jorn K.
MetadataShow full item record
This item's downloads: 12 (view details)
Hayes, Barry P., Gruber, Jorn K., & Prodanovic, Milan. (2018). Multi-nodal short-term energy forecasting using smart meter data. IET Generation, Transmission and Distribution, 12(12), 2988-2994, Doi:10.1049/iet-gtd.2017.1599
This paper deals with the short-term forecasting of electrical energy demands at the local level, incorporating advanced metering infrastructure (AMI), or ‘smart meter’ data. It provides a study of the effects of aggregation on electrical energy demand modelling and multi-nodal demand forecasting. This paper then presents a detailed assessment of the variables which affect electrical energy demand, and how these effects vary at different levels of demand aggregation. Finally, this study outlines an approach for incorporating AMI data in short-term forecasting at the local level, in order to improve forecasting accuracy for applications in distributed energy systems, microgrids and transactive energy. The analysis presented in this study is carried out using large AMI data sets comprised of recorded demand and local weather data from test sites in two European countries.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Defining corporate energy policy and strategy to achieve carbon Emissions reduction Targets via energy MANAGEMENT in non-energy intensive multi-site manufacturing organisations Finnerty, Noel; Sterling, Raymond; Contreras, Sergio; Coakley, Daniel; Keane, Marcus M. (Elsevier, 2018-03-14)Research on the characteristics of long-term energy policy and associated strategies in multisite manufacturing organisations is limited. Non-energy intensive multinationals do not face the environmental regulations ...
Mobilising IS to support the diffusion of energy management practices outside of Ireland¿s LIEN (Large Industry Energy Network) Costello, Gabriel (Association Information et Management, 2010-05)Ireland is under increasing pressure to reduce energy consumption to meet carbon emission targets and protect an economy that is almost totally dependant on imported energy. The implementation of no cost and low cost ...
Finnegan, William; Goggins, Jamie (2013)A vital aspect of ensuring the cost effectiveness of wave energy converters (WECs) is being able to monitor their performance remotely through structural health monitoring, as these devices are deployed in very harsh ...