Accelerating sustainable infrastructure with data-driven insights

Electric car charging at a wall-mounted charger with blue cable plugged in
White CKA logo on a black background.

About this project:

Predicting the energy consumption of potential EV charging locations, seamlessly integrating her work with our Delta Power product.

"It's so rewarding when our partners see real business value from their Nurture projects such as identifying upset customers and proactively trying to put things right... before it escalates!"


Marie May

Head of Nurture


  • Reach out to Marie to find out how Nurture can help your business to achieve goals
Smiling woman in a black sleeveless top against a light wall with floral line art.

Executive Summary

Predictive Model | Energy consmption

Objective:

By predicting the energy consumption of potential EV charging locations, we would be able to offer data-driven insights to steer infrastructure investments that better serve our customers.


Solution:
Our Nurture student built the foundational data and machine learning pipelines on Databricks, utilizing a diverse dataset that included mobility patterns, EV ownership statistics, weather conditions, and demographic information. 


Results:

  1. Robust Pipelines: Established essential data and machine learning pipelines on Databricks.
  2. Scalable Framework: The project introduced a scalable framework adaptable across regions.
  3. Improved Decision-Making: Customers now benefit from data-driven insights for infrastructure investments.




Technology

At CKDelta, our mission to harness data for sustainable infrastructure decisions has been significantly advanced by the contributions of a student from the Nurture Programme. 


The Nurture student took on the challenge of predicting the energy consumption of potential EV charging locations, seamlessly integrating her work with our Delta Power product.

Using data to improve sustainable infrastructure