Electricity as (Big) Data: Metering, spatiotemporal granularity and value. Issue 1 (February 2018)
- Record Type:
- Journal Article
- Title:
- Electricity as (Big) Data: Metering, spatiotemporal granularity and value. Issue 1 (February 2018)
- Main Title:
- Electricity as (Big) Data: Metering, spatiotemporal granularity and value
- Authors:
- Kragh-Furbo, Mette
Walker, Gordon - Abstract:
- Electricity is hidden within wires and networks only revealing its quantity and flow when metered. The making of its properties into data is therefore particularly important to the relations that are formed around electricity as a produced and managed phenomenon. We propose approaching all metering as a situated activity, a form of quantification work in which data is made and becomes mobile in particular spatial and temporal terms, enabling its entry into data infrastructures and schemes of evaluation and value production. We interrogate the transition from the pre-digital into the making of bigger, more spatiotemporally granular electricity data, through focusing on those actors selling and materialising new metering technologies, data infrastructures and services for larger businesses and public sector organisations in the UK. We examine the claims of truth and visibility that accompany these shifts and their enrolment into management techniques that serve to more precisely apportion responsibility for, and evaluate the status of, particular patterns and instances of electricity use. We argue that whilst through becoming Big Data electricity flow is now able to be known and given identity in significantly new terms, enabling new relations to be formed with the many heterogeneous entities implicated in making and managing energy demand, it is necessary to sustain some ambivalence as to the performative consequences that follow for energy governance. We consider the widerElectricity is hidden within wires and networks only revealing its quantity and flow when metered. The making of its properties into data is therefore particularly important to the relations that are formed around electricity as a produced and managed phenomenon. We propose approaching all metering as a situated activity, a form of quantification work in which data is made and becomes mobile in particular spatial and temporal terms, enabling its entry into data infrastructures and schemes of evaluation and value production. We interrogate the transition from the pre-digital into the making of bigger, more spatiotemporally granular electricity data, through focusing on those actors selling and materialising new metering technologies, data infrastructures and services for larger businesses and public sector organisations in the UK. We examine the claims of truth and visibility that accompany these shifts and their enrolment into management techniques that serve to more precisely apportion responsibility for, and evaluate the status of, particular patterns and instances of electricity use. We argue that whilst through becoming Big Data electricity flow is now able to be known and given identity in significantly new terms, enabling new relations to be formed with the many heterogeneous entities implicated in making and managing energy demand, it is necessary to sustain some ambivalence as to the performative consequences that follow for energy governance. We consider the wider application of our conceptualisation of metering, reflecting on comparisons with the introduction of new metering systems in domestic settings and as part of other infrastructural networks. … (more)
- Is Part Of:
- Big data & society. Volume 5:Issue 1(2018)
- Journal:
- Big data & society
- Issue:
- Volume 5:Issue 1(2018)
- Issue Display:
- Volume 5, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2018-0005-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-02
- Subjects:
- Electricity -- measurement -- metering -- smart energy -- spatiotemporal -- visibility
Big data -- Social aspects -- Periodicals
Social sciences -- Research -- Data processing -- Periodicals
Social sciences -- Research -- Methodology -- Periodicals
Data mining -- Periodicals
300.28557 - Journal URLs:
- http://bds.sagepub.com ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/2053951718757254 ↗
- Languages:
- English
- ISSNs:
- 2053-9517
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8192.xml