CK EDIWWORKING withInfrastructure Creation of Knowledge and Energy strategy Development

http://www.energy.ox.ac.uk/wicked/

1

Generating Insight from Big Data in Retail

Prof David Wallom

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

What do you consider Big Data to be?

Big data is a broad term for data sets so large or complex that traditional data

processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer,

visualization, and information privacy.

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

14 July 2015

Scale matters for problems and solutions in the built environment

“stock” at the city, national, international scale

The building(or leaseable unit)

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

The Challenge In UK, £1.7 Bn of energy

consumed is not managed Large businesses waste around

15% of energy due to lack of efficiency measures

£5Bn spent on new buildings each year, which use 2-3 times more than designed

Return on investment (ROI) of 48% available for many measures

Effective management will reduce risk and increase security of supply

Market transformation via Awareness of problem Understanding of technical

performance Opportunities for socio-

technical change

14 July 2015Source: Sweett Group, Verco, UCL, & Energy Foundation. 2014. Operational Energy Use and the Use of 'Bigger, Better Data". GCB230. Green Construction Board: London

The Opportunity

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

What can analytics say about energy usage?

Turning Data into Actionable Information; Predicting and classifying costs when there is a shift in the type of

tariff, e.g. shifting to a real-time tariff from a fixed price tariff. Clustering of load profiles, determining behaviour type and

response by the consumer Determining fundamental drivers of energy consumption

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

Clustering load profiles using Bayesian analytic techniques

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

Normalised daily power demand profiles for all businesses by sector

Commercial energy consumption and real time pricing Analyse the impact of introduction of time-of-use and real-

time pricing strategies

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

How is big data best collected and stored, and who ought to have access?

Data costs, to both move and store, BIG DATA costs A LOT! Maximise value of data once you have it by making it uniformly

accessible to business functions Increasingly common that energy information is handled on

behalf of the retailer by a third party contractor. Lack of standards in all aspects of data formats Changing energy management provider is an epic task.

Example, we have partnerships within WICKED with four different retailers, four different configurations of data and inconsistent metadata.

W ICK ED

http://www.energy.ox.ac.uk/wicked/W ICK ED

Retail uses analytics regularly in sales, now it can move to other parts of the business,

Answer fundamental questions on efficacy of operational changes w.r.t energy

Connect consumption to overall business performance.