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Team project completed for the Code First Girls Big Data Challenge 2020. The project was awarded a place in the top 5 of the competition.

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CFG Big Data Challenge

challenge header

The Big Data Challenge was an event run by Code First Girls in association with the Emergent Alliance and Rolls Royce R2 Data Labs as part of Code Fest 2020. The theme of the challenge was sustainability moving forwards after COVID-19. We were provided with UK electricity data, data on government policies and measures implemented to combat the pandemic and some economic data. We were asked to pick one question to answer from this challenge statement so we chose to investigate the impact of COVID-19 on the supply and demand of electricity in the UK.

Team M

Laura Ramoskaite
Dimitra Charalampopoulou
Güzide Sofi
Robyn Seymour-Jones

Notebooks

Notebooks used for data exploration as well as the main submission to the challenge can be found in the notebooks directory while those specifically used to model the electricity supply and demand data can be found in the model directory.

The main notebook for this project is submission.ipynb, which has also been uploaded as a pdf.

Data

electricity_clean.xlsx – Cleaned electricity data from the various tables provided by the UK government (BEIS, 2020). Certain data have been extracted from the different tables. A contents page provides details of what has been extracted, the source table and futher details. Data are mixed in timescale and span. They are mainly quarterly and monthly timescales and mainly span from either 1995 or 1997 to June 2020.

response_indicies.xlsx – Oxford COVID-19 Government Response Tracker (OxCGRT) data showing the measures put in place by governments in response to COVID-19 (Hale et al. 2020). Only UK data has been extracted. There is one worksheet contained data for all of the UK nations combined as well as separate worksheets for the individual UK nations. Data span 2020-01-01 to 2020-08-23.

demand.csv – Rolling demand data (Elexon, 2020). This provides the current electricity demand in the UK at 5 minute intervals for the period 2020-01-01 to 2020-08-30.

avg_demand_wk.csv – Rolling demand data (Elexon, 2020) averaged (mean) for each week.

avg_demand_d.csv – Rolling demand data (Elexon, 2020) averaged (mean) for each day.

References

BEIS (2020) Energy Trends: UK electricity, Department for Business, Energy & Industrial Strategy. Available online: https://www.gov.uk/government/statistics/electricity-section-5-energy-trends [Downloaded 2020-09-12].

Elexon (2020) Rolling Electricity Demand, Elexon Balancing Mechanism Reporting Service (BMRS). Available online: https://www.bmreports.com/bmrs/?q=eds/main [Downloaded 2020-09-14].

Hale, T., Angrist, N., Cameron-Blake, E., Hallas, L., Kira, B., Majumdar, S., Petherick, A., Phillips, T., Tatlow, H & Webster, S. (2020) Oxford COVID-19 Government Response Tracker, Blavatnik School of Government. Available online: https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker [Downloaded 2020-09-12].

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Team project completed for the Code First Girls Big Data Challenge 2020. The project was awarded a place in the top 5 of the competition.

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