curiosity and continuous learning.
Here is an account of some data and power systems related projects I have worked on. Herein, you will find me either digging into what more we can learn from data, pulling together different data sources, to make it more insightful, exploring best practices in data reporting, among other intersting pursuits in the world of data, power systems, mathematics, and statistics.
Open-phase Condition in Distribution Transformers
This work explores how monitoring voltage data at customer premises can help detect open-phase conditions in distribution transformers. Through analysis of voltage patterns, cross-household comparisons, and fault correlations, it demonstrates the potential of using consumer-level data for grid diagnostics.
will be available on github.com soon
Communicating Uncertainty in Energy Data: Techniques and Scenarios
A review of techniques for communicating uncertainty in energy data across five scenarios: power outage reporting, voltage profiles, demand response, grid frequency, and emissions estimation. Each scenario shows how proper uncertainty communication enhances decision-making in energy systems.
will be available on github.com soon
Smart Meter Data Analytics for Households in Switzerland
Smart meter data analytics on 15-minute resolution power data from households households in Switzerland as provided by a local utility company. In addition to the smart meter data, we also load temperature measurements from a nearby weather station for correlation purposes.
will be available on github.com soon
Mapping Geographic Energy Data
Through my work with power grid data, I have learnt that geographic visualization reveals crucial patterns in grid performance. By mapping power quality against terrain, or socioeconomic stratifications, we can better understand how location impacts service reliability and guides infrastructure planning, hence help transforming how we approach grid modernization and renewable energy integration.
will be available on github.com soon