Python for Energy Policy Research
From 2011 to 2016, I wrote software and built systems to support energy policy research at Lawrence Berkeley National Laboratory. I would like to show the various applications for Python for energy policy research, including networked sensor data collection systems to study energy use in buildings and automated event detection for distribution grid research. The projects I would display are a low cost embedded system for enabling demand response, assessing hot water use in residential buildings, and event detection and data analysis for distribution grid research. I hope to engage the Python community to use their skills for clean energy and smart grid applications.