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Creating a Nationally Representative Training Dataset

Creating a Nationally Representative Training Dataset

Check out the steps we’ve taken to build a Nationally Representative Dataset (NRD) for smart meters.
Go to the profile of Charlotte Avery
Charlotte Avery
Forecasting household energy consumption

Forecasting household energy consumption

Why household baselining is hard but (sometimes) necessary — and results from Centre for Net Zero’s analysis on a range of GB baselines
Go to the profile of Maria Jacob
Maria Jacob
Releasing Faraday Alpha V2

Releasing Faraday Alpha V2

Happy 2023! We’ve been hard at work at Centre for Net Zero working on adding new features to the Faraday Alpha tool, and we’re proud to…
Go to the profile of Sheng Chai
Sheng Chai
Deploying Machine Learning Apps on GCP

Deploying Machine Learning Apps on GCP

How to deploy Machine Learning Apps on GCP using Fast API, Docker, Google Artifact Registry, Google Cloud Run and Google API Gateway.
Go to the profile of Sheng Chai
Sheng Chai
Introducing Faraday — Our Smart meter Load Profile Generating Tool

Introducing Faraday — Our Smart meter Load Profile Generating Tool

At Centre for Net Zero, we work on research that focuses on the future energy system, and how we could accelerate a people-centred net zero…
Go to the profile of Sheng Chai
Sheng Chai
Managing our data using BigQuery, dbt and Github Actions

Managing our data using BigQuery, dbt and Github Actions

One of the first data engineering projects at Centre for Net Zero was setting up a data warehouse for the research team. Data cleaning is…
Go to the profile of Centre for Net Zero
Centre for Net Zero
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