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
The energy cost of taking photos and videosThe energy cost of taking photos and videos
A topic that has recently come to my attention is the energy cost of taking and storing a photo and video. On average, a user takes about 900 photos (including
Your own cheap non-intrusive smart meter with little programming effortYour own cheap non-intrusive smart meter with little programming effort
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
Data correlation and clustering in PySparkData correlation and clustering in PySpark
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
Making simple forecasts (with examples)Making simple forecasts (with examples)
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
Climate change starts @ homeClimate change starts @ home
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
Simple analytics (with examples)Simple analytics (with examples)
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
Cleaning up smart grid data (with examples)Cleaning up smart grid data (with examples)
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
Theory vs. practice: who wins?Theory vs. practice: who wins?
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
Smart grid data and timeSmart grid data and time
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
Towards the “smart” gridTowards the “smart” grid
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