In this blog, I am writing about how algorithms can help in the fight against climate change.
As always, I have way more ideas than I have time to realise. These are the blog posts I have planned for at the moment:
- Singularity Unversity https://www.youtube.com/watch?v=fwSkQa1tNmE&feature=youtu.be
- Big World, Small Planet
- The Bill Gates Equation
- The Rise of Renewable Energy (Reference IEA report) and exponential growth. It is possible to do something about climate change? here is about the optimism in climate change (al gore) https://www.ted.com/talks/al_gore_the_case_for_optimism_on_climate_change
- Georaphical smoothing of wind power. Use the AMEO dataset to make an interactive visualization of how the smoothing effect works. Use fourier analysis to show how the frequency content of the signal is shifting towards lower frequency as the signal is aggregated with more and more wind farms.
- The Energy Transformation (structural change of energy system)
- The Grid Stability Problem (TSO - SVK)
- Syntetic inertia wind turbines Canada
- Write about job satisfaction and entrepreneurship, use the vien diagram
- System integration problem https://www.iea.org/topics/renewables/systemintegration/
- Flexibility is Key (key for allowing for transformation, what are the sources of flexibility?)
- Day-Ahead Electricity Market (from physical problem to market design)
- Intraday Electricity Market (not really a market more a horizon)
- Artificial Intelligence (what is artificial intelligence)
- Artificial Intelligence in Energy (include MIT Review)
- PPAs and GOs. What is it and what is it for? Different ways of setting up the PPA etc.
- The Electricity Forecast Problem (what is the problem and how can it be defined)
- Uncertainty in Electricity Forecasts (why is it needed? refer to paper)
- Regional windpower data in sweden
- Intraday trading
- Meteorology - wind profile
- knapsack problem
- Mixture density networks and probability. Keras, edward, tensorflow...
- Climate models and WRF https://www.ted.com/talks/gavin_schmidt_the_emergent_patterns_of_climate_change#t-691522
- autocorrelation
- multiple weather
- SHMI API (multigrid) (try geoviews by bokeh)
- Navier stokes
- IEA insights
- Algorithmic trading
- Bayesian statistics
- Computational fluid dynamics
Equations can be typeset using the LaTeX compiler MathJax.
This blog is capable of handing interactive plots with plotly. To add an interactive plot, first one has to get the div using a plotly function according to:
import plotly
div = plotly.offline.plot(fig, include_plotlyjs=False, output_type='div')
Using python, the div can be saved to a file:
text_file = open("example_plot.html", "w")
text_file.write(div)
text_file.close()
This this file should be placed on the following path: _includes/_plots/. Finally, in order to include it in a .md blog post, the following code can be used:
<body> {% include _plots/example_plot.html %} </body>
I want to have the following tags:
- Math
- Data
- Visualization
- Meteorology
- Machine learning
- Electricity market
- Python
- Time Series
- computing
- CFD
- Game Theory
- Forecasting
General advice on writing blog posts:
- Start by sketching out what you want to include in the post.
- Write about stuff that you, yourself want to learn more about.