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Automatic meter reading provides opportunities for new prognosis and simulation methods
Mälardalen University, School of Sustainable Development of Society and Technology. (Energy management, load control and low energy buildings)ORCID iD: 0000-0003-4589-7045
Fortum.ORCID iD: 0000-0001-9230-1596
Mälardalen University, School of Sustainable Development of Society and Technology. (Energy management, load control and low energy buildings)ORCID iD: 0000-0002-3485-5440
Mälardalen University, School of Sustainable Development of Society and Technology. (Energy management, load control and low energy buildings)ORCID iD: 0000-0002-7233-6916
2007 (English)In: 2007 IEEE Lausanne POWERTECH, Proceedings, 2007, p. 2006-2011Conference paper, Published paper (Refereed)
Abstract [en]

The use of top-down models, for load forecasting purposes, has been the dominating method over the last decades. However, there is now a discussion regarding the performance of the top-down models, e.g. in situations with unusual weather conditions due to the lack of historical data. This paper considers an alternative bottom-up approach with a stronger relation to the laws of physics. Electricity companies in Sweden are installing automatic meter reading systems for their customers, and using the consumption data gives new possibilities when adapting the modeling parameters in a bottom-up model for each single customer. A method for analyzing individual consumption series is suggested, where different periods in time is used to divide and identify different parts of the electricity load; base load, heat load and household loads. A review of previous work is presented, and suggestions how to link the load analysis to construction parameters for an individual building is proposed.

Place, publisher, year, edition, pages
2007. p. 2006-2011
Keywords [en]
AMR, Automatic meter reading, bottom-up model, electricity load forecasting, end-use residential, customer single-family buildings
National Category
Engineering and Technology
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-9919DOI: 10.1109/PCT.2007.4538626ISI: 000258730101116Scopus ID: 2-s2.0-50849111707ISBN: 978-1-4244-2189-3 (print)OAI: oai:DiVA.org:mdh-9919DiVA, id: diva2:114302
Conference
2007 IEEE Lausanne POWERTECH; Lausanne; 1 July 2007 through 5 July 2007
Available from: 2008-11-11 Created: 2008-11-11 Last updated: 2014-01-07Bibliographically approved
In thesis
1. New opportunities provided by the Swedish electricity meter reform
Open this publication in new window or tab >>New opportunities provided by the Swedish electricity meter reform
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The reduction of the impact of energy consumption is a priority issue and a major challenge that concerns every country in the world. This is a complex task that needs to be tackled from several angles in the search for areas where optimizations and savings can be made. In Sweden an electricity meter reading reform was fully implemented by 1st July 2009, including 5.2 million customers, and this created new set of circumstances in the Swedish electricity market. The main purpose of this thesis work has been to investigate the possibilities of increasing the use of remote meter readings. Two research questions have been: “How can the electricity market benefit from remote collected meter readings?” and “Where do barriers appear when utilizing meter readings?”. The work started in 2000/2001 to study Internet based applications that visualize electricity consumption patterns. Over these years the daily internet users have increased from approximately 40 % to 73 % and new markets for web-based applications have evolved. These solutions can be important in the forthcoming years as energy portals that hold new energy services. Experiences from new installations indicate that at least interested customers do submit information concerning building and household properties through internet. Still, it is challenging to enable the majority of customers to take part in these new solutions. It may therefore be important to remind customers on a regular basis in order maintain the frequency using the application and to make it habitual. Further the introduction of demand-based pricing allows electricity distribution utilities to achieve a stronger correlation between peak loads in the distribution network area and their revenues.

Place, publisher, year, edition, pages
Västerås: , 2010
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 82
Keywords
automatic meter reading (AMR), advanced metering infrastructure (AMI), peak load, consumption patterns, visualize, consumption feed-back, added values, demand-based, tariffs, bottom-up modeling, web-based applications
National Category
Engineering and Technology
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-7852 (URN)978-91-86135-54-6 (ISBN)
Public defence
2010-02-24, Kappa, Mälardalens högskola, Västerås, 10:00 (English)
Opponent
Supervisors
Available from: 2010-02-08 Created: 2010-02-03 Last updated: 2014-12-03Bibliographically approved

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Wallin, FredrikDotzauer, ErikThorin, EvaDahlquist, Erik

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