Measuring forecast quality using linear programming
Using the energy-py-linear Battery model to measure the cost of using a forecast.
Recent Posts
Introducing energy-py-linear
A library for optimizing energy systems using mixed integer linear programming.
Solving Open AI gym Cartpole using DDQN
Finally - stable learning.
A simple Python workflow for time series simulations
Using the defaultdict to simulate temporal problems.
We won’t solve climate change - and it’s ok
Our evolution shaped psychology is a big reason why.
A Pythonic blockchain
Making use of the Python standard library.
A hackers guide to AEMO data
A simple guide to Australian electricity grid data.
All hail Open AI Five
Dota fans are making the same mistake Go fans did in underestimating Open AI.
Next steps in the clean energy transition
What we need to do next.
DDQN hyperparameter tuning using Open AI gym Cartpole
Tuning hyperparameters of the new energy_py DDQN reinforcement learning agent.
DQN debugging using Open AI gym Cartpole
Debugging the new energy_py DQN reinforcement learning agent.
Getting to Zero: Pathways to Zero Carbon Electricity Systems - Jesse Jenkins
How do we get to a zero carbon world?
The Four Inconvenient Truths of the Clean Energy Transition
All is not well with the clean energy transition.
The State of Energy Storage in America
Whats going on with energy storage?
Demateralization and the clean energy transition
Not every technology trend applies to energy.
Jevon’s Paradox
Energy efficiency is not so simple.
Inertia in Electricity Systems
Inertia is a common criticism of the energy transition - is it valid?
11 tips from 11 months of learning Python
I’ve been learning Python for around 11 months - it’s been a wonderful journey!
Getting Wind and Sun onto the Grid
This post covers three interesting insights from the 2017 IEA report Getting Wind and Sun onto the Grid.
CHP Cheat Sheet - Gas Engines & Gas Turbines
Technical modeling of combined heat & power (CHP) plants was my first area of professional specalization.
blockchain in energy - part two - blockchain and the grid
How far can blockchain and the grid go?
blockchain in energy - part one - what is blockchain
An introduction to blockchain the technology.
Elon Musk on autonomous cars
Musk thinks autonomous vehicles will be cheaper and driven for longer.
machine learning in energy - part two
Applications of machine learning in energy - forecasting, disaggregation and reinforcement learning.
CAISO Stage 1 Grid Emergency
On May 3rd 2017 the California grid experienced its first Stage 1 grid emergency in nearly a decade.
machine learning in energy - part one
What is machine learning anyway?
Oil Reserves Growth
The more oil we burn, the more oil reserves we have.
The Complexity of a Zero Carbon Grid
Jesse Jenkin’s insights on decarbonizing electricity systems.
energy-py - reinforcement learning for energy systems
An introduction to the open source energy focused reinforcement learning library energy-py.
Capacity Factor
It’s not how much capacity (MW) you have - it’s how you use it (MWh).
How to save the energy system - André Bardow
Peak oil won’t save the planet, wind and solar lack an inherent economy of scale and German capacity factors.
2017 BP Energy Outlook
BP’s view on the next 40 years.
Average vs. Marginal Carbon Emissions
Many professionals are getting this wrong.
A Simple Look at the Efficiency Penalty Cost of Renewables
Can a fossil fuel efficiency penalty offset the benefits of renewables?
How Clean and Renewable are Wind and Solar?
How clean are wind and solar really?
Does Combined Heat & Power Provide a Carbon Benefit?
CHP is efficient, but is it clean?
Fixed versus Variable Costs
A fundamental concept in business and energy.
Vaclav Smil on Carbon Capture & Storage
Two insights from the excellent Vaclav Smil.
IEA 2016 World Energy Outlook
Highlights from the 2016 IEA World Energy Outlook.
A Look at Wind and Solar
How far we’ve come and is there an upper limit?
Four Negative Effects of High Return Temperatures
Why are return temperatures are a major problem in district heating?
Imbalance Price Visualization
Plotting using matplotlib.
Gas Turbines and Ambient Temperature
Explaining the relationship between gas turbines and ambient temperature.
Elexon API Web Scraping using Python
Scraping UK electricity grid data.
Why we can’t learn from Costa Rica
Costa Rica is often wrongly held up as an example of how to go renewable.
What is the UK Imbalance Price?
An introduction to the economics of imbalance in electricity systems.
Is the decline of nuclear destroying the progress of renewables?
Insights from the IEA World Energy Investment 2016 report.
A chemical engineers 22 most used Excel shortcuts
Confessions of a former spreadsheet monkey.
Q = m Cp dT
The equation I used the most as an energy engineer.
The First & Second Law of Thermodynamics
Simple enough to be summarized in two sentences.