Accelerating sustainable infrastructure with data-driven insights
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
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:
- Robust Pipelines: Established essential data and machine learning pipelines on Databricks.
- Scalable Framework: The project introduced a scalable framework adaptable across regions.
- Improved Decision-Making: Customers now benefit from data-driven insights for infrastructure investments.
Technology
Challenge
Solution
Outcome
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
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.
The project introduced a scalable framework adaptable across regions.
Machine learning pipelines and a scalable framework
The students ability to listen effectively, stay well-organized, and think creatively allowed her to deliver high-quality work that has significantly enhanced the Utilization module within Delta Power.
This new module now offers our customers precise, data-driven insights, enhancing their decision-making for infrastructure investments.
