This case study is published under The Turing Way Practitioners Hub Cohort 1 - case study series. The Practitioners Hub is The Turing Way project that works with experts from partnering organisations to promote data science best practices. In 2023, The Turing Way team partnered with five organisations in the UK including the Catalogue of Projects on Energy Data (CoPED) team of Energy Systems Catapult. This work is supported by Innovate UK BridgeAI. The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 & The Alan Turing Institute. We thank Dr Samuel Young, Practice Manager for Data Science & AI at Energy Systems Catapult, and Dr Stephen Haben, Senior Data Science Consultant at Energy Systems Catapult and an Expert in Residence for the first cohort of The Turing Way Practitioners Hub, for facilitating the development of this case study. The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. Stuart Gillespie is the technical writer for this case study, and others in the series. Lucy Killoran, a Turing Enrichment Student and PhD Researcher - Archaeology and Computing Science at University of Glasgow and Historic Environment Scotland, served as The Turing Way liaison to the ESC contributors and the writing team. Cami Rincón, previous Research Applications Officer at the Turing Institute, contributed to the development of the Case Study Framework in this project. Led by Dr. Kirstie Whitaker, Programme Director of the Tools, Practices, and Systems research program, The Turing Way was launched in 2019. The Turing Way Practitioners Hub, established in 2023, aims to accelerate the adoption of best practices. Through a six-month cohort-based program, the Hub facilitates knowledge sharing, skill exchange, case study co-creation, and the adoption of open science practices. It also fosters a network of 'Experts in Residence' across partnering organisations. For any comments, questions or collaboration with The Turing Way, please email: turingway@turing.ac.uk.