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Solving the knapsack problem with Python and Gurobi

by Jack Simpson

Resources to learn mathematical optimisation

by Jack Simpson

PyCon: why data scientists should learn mathematical optimisation

by Jack Simpson

Exploring the impact of constraints on a solar farm in the National...

by Jack Simpson

How does AEMO predict demand in the National Electricity Market?

by Jack Simpson

Big Battery Bidding and Rebidding!

by Jack Simpson

How does a gigawatt of renewables disappear?

by Jack Simpson

Data science tip: store constants in their own file

by Jack Simpson

Summary of reliability forecasting in the NEM

by Jack Simpson

Visualising the Tesla big battery at Hornsdale

by Jack Simpson

AER State of the energy market 2021 Summary

by Jack Simpson

Electricity Market Modelling Resources

by Jack Simpson
  • Removing webpage newline characters in Python

    by Jack Simpson December 27, 2016
    by Jack Simpson December 27, 2016

    An issue I recently came across whilst using the Python requests module was that while I was trying to parse HTML text, I couldn’t remove the newline characters ‘ ‘…

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  • Best practices for data science with the Jupyter Notebook

    by Jack Simpson December 18, 2016
    by Jack Simpson December 18, 2016

    I recently listened to a really interesting talk by Jonathan Whitmore where he discussed the approach his company has to working with data using the Jupyter Notebook. I’d recommend watching it, but…

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  • Announcing BioSky

    by Jack Simpson December 14, 2016
    by Jack Simpson December 14, 2016

    BioSky is a website I’ve been setting up with Rina Soetanto recently. We are both doing PhDs in the biological sciences and have a keen interest in research and the treatments being…

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  • Improving Model Accuracy

    by Jack Simpson December 11, 2016
    by Jack Simpson December 11, 2016

    I wrote a few quick bullet points down from the article “8 Proven Ways for improving the “Accuracy” of a Machine Learning Model” for future reference. Improving Accuracy Add more data…

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  • Working with Imbalanced Classes

    by Jack Simpson December 11, 2016
    by Jack Simpson December 11, 2016

    I wrote a few quick bullet points down from the article “8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset” for future reference. Tactics Imbalanced datasets occur when you…

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  • Assessing machine learning algorithm performance

    by Jack Simpson December 11, 2016
    by Jack Simpson December 11, 2016

    I wrote a few quick bullet points down from the article “How To Implement Machine Learning Algorithm Performance Metrics From Scratch With Python“. Metrics Classification accuracy Test how well predictions of…

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  • Machine Learning Recipes

    by Jack Simpson December 3, 2016
    by Jack Simpson December 3, 2016

    I found an excellent tutorial series on Machine Learning on the Google Developers YouTube channel this weekend. It uses Python, scikit-learn and tensorflow and covers decision trees and k-nearest neighbours…

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  • Multiprocessing in Python

    by Jack Simpson November 23, 2016
    by Jack Simpson November 23, 2016

    I frequently find myself working with large lists where I need to apply the same time-consuming function to each element in the list without concern for the order that these…

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  • Visual Diagnostics for More Informed Machine Learning

    by Jack Simpson November 3, 2016
    by Jack Simpson November 3, 2016

    I recently watched Rebecca Bilbro’s presentation at PyCon 2016 and thought I’d share a few of my short notes from her interesting presentation. Model Selection Triple When selecting a model,…

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  • Multiple plots in figures with R

    by Jack Simpson July 4, 2016
    by Jack Simpson July 4, 2016

    The other day I was working with R in a Jupyter Notebook when I discovered that I needed to include multiple figures in the same plot. Surprisingly, R doesn’t include…

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  • 1

    Exploring the impact of constraints on a solar farm in the National Electricity Market

    September 3, 2021
  • 2

    Primary frequency response in action!

    June 16, 2021
  • 3

    PyCon: why data scientists should learn mathematical optimisation

    December 10, 2024
  • 4

    Bees, lasers, and machine learning

    February 3, 2017
  • 5

    Electricity Market Modelling Resources

    June 21, 2021
  • 6

    Simple explanations of data science and statistics concepts

    June 20, 2021
  • 7

    How to build a simple energy market dispatch engine

    March 29, 2021
  • 8

    Data science tip: store constants in their own file

    July 7, 2021
  • 9

    How to vectorize conditional calculations in Python

    April 4, 2021
  • 10

    How to improve the performance of Pandas with eval and query

    April 5, 2021
  • Home
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Jack Simpson
  • Home
  • About
Jack Simpson
  • Content
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