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data science

Calculating Energy Savings

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Welcome to our second post on inference and energy savings. In our first post you were introduced to the concept of inference, matching and pesky confounding variables - if you haven’t read our first post I would recommend you take a look. In this post we will…

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data science analytics data

Inference in observational studies

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Hello and welcome to the latest riveting read from the data science team here at OVO - this time about methodologies for measuring the impact of some intervention where you cannot control who receives the intervention. First let’s define some different types o…

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How a few teams got together to reduce carbon emissions from electric vehicle drivers

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EV drivers can play a key role using smart charging technology provided by Kaluza Flex – an intelligence energy unit within OVO Group. Find out more how.…

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data science analytics

Introduction to energy disaggregation

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Hello and welcome to another data science themed blog post, this time with a focus on energy disaggregation (aka non intrusive load monitoring or NILM - I know this sounds a bit like a school-yard insult but unfortunately it is not). This is the first in a ser…

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data science analytics

Bayesian Optimisation for improving model performance

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Hello whoever is reading this, I'm here with a data science themed blog post for anyone interested in adding a new tool to their predictive modelling/ML toolkit. This post will focus on hyperparameter optimisation - these are the parameters of modelling techni…

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Energy Insights: What we can do

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First, introductions - my name is Tom and I work as a Data Scientist in the Engagement Team. What do we do, you ask? Well, as it happens, it’s pretty engaging stuff... Helping members cut their carbon with science Like most folks at OVO over the past 3 month…