<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Writing on Sakeenah Aderinto</title><link>https://sakeenahaderinto.com/writing/</link><description>Recent content in Writing on Sakeenah Aderinto</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sat, 21 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sakeenahaderinto.com/writing/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Battery Arbitrage Backtester</title><link>https://sakeenahaderinto.com/writing/building-a-battery-arbitrage-backtester/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://sakeenahaderinto.com/writing/building-a-battery-arbitrage-backtester/</guid><description>Hello again :)
In part 2, we’re going to cover the tool I built to teach a battery when to store and sell back electricity to the grid, and test how well it would have done using historical electricity price data.
We’ll go through the different parts of the tool: a linear program (LP) that finds the optimal charge/discharge schedule given a 24-hour price forecast, the forecasting models that feed into the LP, a backtester that runs the results against real market data, and a Streamlit dashboard I built to make the experience more interactive.</description></item><item><title>The Temporal Mismatch Problem</title><link>https://sakeenahaderinto.com/writing/the-temporal-mismatch-problem/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://sakeenahaderinto.com/writing/the-temporal-mismatch-problem/</guid><description>On a random Tuesday at 2 am, a storm front pushes in from the west and a few wind turbines off the Scottish coast are spinning somewhere near their rated capacity. Nobody’s awake, and demand is low.
Across the transmission networks, prices are sliding towards zero and in recent years, below zero. The turbines get paid to shut down, and energy is curtailed.
On a random Thursday evening, on the other hand, there’s a warm spell in the middle of July.</description></item><item><title>Modeling Optimal Energy Storage Placement on the Grid</title><link>https://sakeenahaderinto.com/writing/optimal-battery-storage-allocation/</link><pubDate>Mon, 02 Feb 2026 00:00:00 +0000</pubDate><guid>https://sakeenahaderinto.com/writing/optimal-battery-storage-allocation/</guid><description>I built an optimization model to figure out where batteries should go on a power grid.
Energy storage is becoming critical infrastructure as renewable energy integration grows. But because batteries are expensive and utilities have limited budgets, where you place storage on a grid matters enormously. Not just for profitability, but for grid reliability and how much renewable energy a grid system can actually use.
Heuristics like “put storage near the wind farms” or “near big cities” are intuitive, but they often miss a crucial point.</description></item></channel></rss>