Establishment of automatic meter reading and load management, experiences and cost/benefit

Graabak, Ingeborg; Grande, O.S.; Ikaheimo, J.; Kärkkäinen, Sirpa

doi:10.1109/icpst.2004.1460208

Cited by 9 publications

(9 citation statements)

References 0 publications

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“…However, the result seems does not seem to obtain the same accuracy as the second approach without temperature correlation (see Fig. 8 The total error is calculated according to the previous mentioned equation (7). The first series, based on an average load base factor, have a total error of 274 MWh/year.…”

Section: Resultsmentioning

confidence: 97%

“…To evaluate the total result of each load series a summation of the total error is performed according to: Err =-ELrefined,hour -L(original,hour (7) hour where the summation is carried out over the whole year, hour by hour.…”

Section: A Theorymentioning

confidence: 99%

“…The added values of remote collected electricity consumption data have been under investigation in several works [3]. Added values to the electricity companies can be possibilities of introducing more advanced price constructions [4], utilize two-way communication for direct load control [5], [6], [7] or improve customer relations by extended information possibilities [8] etc. There is of great interest for the electricity companies investigating the AMR system installations to take these extra functionalities under consideration in the evaluation of the total system cost.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method to Refine Electricity Consumption Data from Automatic Meter Reading Systems

Wallin

Thorin

Kvarnstrom

et al. 2006

2006 International Conference on Power System Technology

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In this work data from an AMR system delivering consumption data on a daily basis with an aggregated electricity consumption post combined with a maximum peak load within the period has been utilized. The paper suggests a method to create individual hour based daily consumption profiles and to increase the knowledge of the aggregated consumption patterns over the day. As a validation the method has been applied on rearranged data from an AMR system providing hour based metering series to regenerate the same consumption series. Implementing the method can provide consumption series that can be used to increase the accuracy e.g. when forecasting the electricity consumption for individual customers. The created consumption series can also be a valuable resource when estimating aggregated hour based profiles for different areas using a bottom-up approach.

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Section: Resultsmentioning

confidence: 97%

Section: A Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Method to Refine Electricity Consumption Data from Automatic Meter Reading Systems

Wallin

Thorin

Kvarnstrom

et al. 2006

2006 International Conference on Power System Technology

View full text Add to dashboard Cite

show abstract

“…Currently, algorithmic techniques for load management are in vogue [10], [11], [12], [13]. These techniques do not rely on the whims of consumers in responding to prices and could be used in conjunction with load-shedding to increase reliability while also increasing load factor.…”

Section: A Previous Workmentioning

confidence: 99%

A method for automatically scheduling notified deferrable loads

O'Brien

Rajagopal

2013

2013 American Control Conference

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In this paper we propose a novel algorithm for the automatic scheduling of deferrable loads in a notified system. Load profiles are deferred in a 'greedy' manner in order to reduce the sum of squared errors between the aggregate scheduled load and a specified target load profile. Numerical results using data from the Plugwise dataset are shown and we also describe how the algorithm helps in peak reduction, and how this delay corresponds to energy storage. As this load scheduling system is designed to follow a target curve, another use of this algorithm is to provide energy market participants with a means of bidding into capacity markets the difference between the original aggregate load and the scheduled aggregate load.

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“…This development can make it attractive for consumers to react on short-term variations in prices, and it also provides a basic infrastructure for load control. General customer response on price changes is described in for example [5], [6], [7] and [8]. Recently also the US Federal Energy Regulatory Commission has issued a report on demand response [9].…”

Section: Introductionmentioning

confidence: 99%