MSc ESDA Coursework Title Page

UCL Candidate Code: Weasley (HSWWO, HSDN8, FDQX2)

Module Code: BENV0091

Module Title: Energy Data Analysis

Coursework Title: Forecasting the BSUS Charge: A Machine Learning Approach

Module Leader: Dr Aidan O'Sullivan

Word Count: 4991

By submitting this document, you are agreeing to the Statement of Authorship:

1/We certify that the attached coursework exercise has been completed by me/us and that each and every quotation, diagram or other piece of exposition which is copied from or based upon the work of other has its source clearly acknowledged in the text at the place where it appears.

1/We certify that all field work and/or laboratory work has been carried out by me/us with no more assistance from the members of the department than has been specified.

1/We certify that all additional assistance which I/we have recelved is indicated and referenced in the report.

Please note that penalties wit bo applied to coursework which is submitted late or which excoeds the maximum word count.

Information about penaltas can be found in the MSc ESDA Course Handbook which is available an Moodio:

• Penaitios for late submission: his://moodlo-1819.ucl.ac.uk/cours@/viow.php?id-2257§ion-30

• Penaities for going over the word count: htips:/moodle-1819.uclac.uk/course/view.php?id:99678secton:30

In the case of coursework that is submited lete and is also over length, then the greater of the two penalties shal apply. This includes