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Forecasting Challenge

If you’d like to be in with a chance of securing a summer internship, plus a £1,000 cash prize, this is one opportunity you won’t want to miss out on.

In this competition, we’re challenging you, the students of Britain, to beat our forecast. In teams of between two and four, we want you to predict what our customers’ power usage will be, based on weather data.

There are very few industries where forecasting is as integral to day-to-day operations as the energy industry. Having an accurate view of how much energy a customer will use is essential to ensure that we buy the right amount and minimise the costs. This is why forecasting is so important to us, and why we need you.

You’ll be using state-of-the-art industry weather data to create a model of our customers’ energy demands. Then, we’ll test the accuracy of your model with a staged competition. You’ll be given actual weather data for a period and use this to forecast customer consumption across that period.

There’ll be an initial two weeks to formulate your model and make your first set of predictions, after which we’ll give you another set of data.

You’ll then have a week to send in your forecast, before we send you the final set of data. You’ll then have one last week to submit your final predictions. At the end of each stage, we’ll reveal a leader board with points awarded based on how close your predicted values were to the actual data.

Once this process has been completed, the top five teams will progress to the final at our Solihull office where you will present and explain your model to senior members of the npower forecasting team and the wider business. From this, one team will be chosen by our panel of experts as the winners.



The Documents

Round 1 Instructions
Round 1 Data Part 1
Round 1 Data Part 2
Round 2 Data Part 1
Round 2 Data Part 2
Round 2 Data Part 3
Round 3 Data Part 1
Round 3 Data Part 2
Round 3 Data Part 3

The Standings

Team Name Round 1 Round 2 Round 3 Average Rank
Geert Scholma 3.137% 7.129% 3.07% 4.444% 1
DevanPatel_UNCC 6.427% 4.89% 5.82 5.711% 2
masoudsobhani@uncc 7.842% 7.476% 6.97% 7.431% 3
4C 7.268% 10.465% 5.06% 7.598% 4
KeithBishop@UNCC 7.684% 8.199% 7.67% 7.850% 5
YangSun_UNCC 7.554% 10.109% 6.84% 8.166% 6
United Force 11.841% 9.396% 7.95% 9.729% 7
Hohai University 13.071% 10.179% 10.83% 11.360% 8
The Fourcasters 16.296% 13.066% 13.18% 14.180% 9
Make Weather Models Great Again 15.949% 11.978% 16.38% 14.770% 10
The Musketeers 12.812% 16.014% 22.40% 17.075% 11
LBA - Leeds Business Analysts 16.391% 24.928% 17.40% 19.573% 12
4Cast 6.894% 29.729% 22.40% 19.674% 13
University of Southampton 15.038%% 29.928% 22.40% 22.455% 14
Team Makalu 15.221% 29.928% 22.40% 22.516% 15
Angela and Zeemans 29.894% 29.928% 22.40% 27.407% 16
Dewan Fayzur 34.89% 29.93% 22.40% 29.073% 17
Knight_Power 34.89% 29.93% 22.40% 29.073% 18
Black Analytics 34.89% 29.93% 22.40% 29.073% 19
AMcC 34.89% 29.93% 22.40% 29.073% 20
David 34.89% 29.93% 22.40% 29.073% 21
Ramsay Analytics 34.89% 29.93% 22.40% 29.073% 22
High Voltage 34.89% 29.93% 22.40% 29.073% 23
Genuine Forecasters 34.89% 29.93% 22.40% 29.073% 24
hakuro15 34.89% 29.93% 22.40% 29.073% 25
TarGuez 34.89% 29.93% 22.40% 29.073% 26
Datartists 34.89% 29.93% 22.40% 29.073% 27
Mustafa kadhum 34.89% 29.93% 22.40% 29.073% 28
PENultimate PIPs 34.89% 29.93% 22.40% 29.073% 29
LINKS 34.89% 29.93% 22.40% 29.073% 30
Melonfc 34.89% 29.93% 22.40% 29.073% 31
Aspire 34.89% 29.93% 22.40% 29.073% 32
Prometheus 34.89% 29.93% 22.40% 29.073% 33
The engineers 34.89% 29.93% 22.40% 29.073% 34
PinkFloyd 34.89% 29.93% 22.40% 29.073% 35
Ministry 34.89% 29.93% 22.40% 29.073% 36
Goodwins babes 34.89% 29.93% 22.40% 29.073% 37
Gergo Barta 34.89% 29.93% 22.40% 29.073% 38
Aikman's Finest 34.89% 29.93% 22.40% 29.073% 39
ITYS 34.89% 29.93% 22.40% 29.073% 40
Your Name Here 34.89% 29.93% 22.40% 29.073% 41
Fama 34.89% 29.93% 22.40% 29.073% 42
4cast16/17 34.89% 29.93% 22.40% 29.073% 43

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