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SaveAWattHour

SaveAWattHour

about people, energy, and data science

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A few words (or another way of saying “why this blog?”)A few words (or another way of saying “why this blog?”)

June 28, 2021June 28, 2021 MarcMarc 0 Comments 7:39 pm


Hello data scientists, students, or curios people about smart energy management, My name is Marc, I am currently a senior lecturer at Nottingham Trent University and this is my first

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Your own cheap non-intrusive smart meter with little programming effortYour own cheap non-intrusive smart meter with little programming effort

December 3, 2022December 3, 2022 MarcMarc 0 Comments 1:57 pm


These days I’ve been experimenting with non-intrusive cheap smart meters that can be easily installed and programmed with minimal effort. Of course, I am referring here to setting up the

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PySpark on Google Collab

Data correlation and clustering in PySparkData correlation and clustering in PySpark

November 15, 2022November 15, 2022 MarcMarc 0 Comments 4:54 pm


Most of the computations today are performed on cloud infrastructures. Many of these rely on Hadoop and Apache Spark. In this tutorial, I will show how you can set up

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MAPE comparison of several methods

Making simple forecasts (with examples)Making simple forecasts (with examples)

October 29, 2022October 29, 2022 MarcMarc 0 Comments 12:32 pm


Wait… is it prediction or forecast? We often use the two terms interchangeably, I know I have, but they in fact refer to completely different things. Simply put, forecasting is

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Climate change starts @ homeClimate change starts @ home

December 5, 2021December 5, 2021 MarcMarc 0 Comments 11:59 am


This is a short video I made showing why energy efficiency is important for both climate and ourselves. Just as building a home requires basic elements such as bricks, changing

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Simple analytics (with examples)Simple analytics (with examples)

November 21, 2021November 21, 2021 MarcMarc 0 Comments 5:16 pm


In a previous post, I explained how smart grid time series data can be cleaned in preparation for data analysis. Not all analyses involve predictions. In fact, the preliminary information

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Cleaning up smart grid data (with examples)Cleaning up smart grid data (with examples)

July 15, 2021July 15, 2021 MarcMarc 0 Comments 2:53 pm


You probably noticed in the featured image of this post that there are some funny negative values in the energy data. You might have seen some gaps as well. All

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Theory vs. practice

Theory vs. practice: who wins?Theory vs. practice: who wins?

July 5, 2021July 5, 2021 MarcMarc 0 Comments 5:14 pm


During the time I spent working on various smart grid projects I often found myself in the situation where I had to apply scientific results to real-life applications. However, I

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Smartgrid data sources

Smart grid data and timeSmart grid data and time

July 3, 2021July 3, 2021 MarcMarc 0 Comments 12:13 pm


When talking about smart grid data it is hard to avoid the variable associated with time. A blackout occurred at a specific time; high consumption will be expected between 1

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Data understanding and its value

Towards the “smart” gridTowards the “smart” grid

July 2, 2021July 2, 2021 MarcMarc 0 Comments 9:18 am


A brief context The balance of power, or walking the fine line between energy supply and energy demand, is one vital point a power utility has to address. The process

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Recent Posts

  • Your own cheap non-intrusive smart meter with little programming effort
  • Data correlation and clustering in PySpark
  • Making simple forecasts (with examples)
  • Climate change starts @ home
  • Simple analytics (with examples)

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