I first launched this web page for Harvard CS109 final project (where the domain came from) with Constant Wette and Wen Xie in December 2014. Our project won the honorable mention that year. Later I worked on several more research and personal projects on energy demand forecasting using machine learning algorithms, including visualization and web apps development. I decided to put all of them on this website.
To my surprise, I constantly receive emails asking about these projects since then. By September 2017, there are more than 23,000 pageviews from over 120 countries. Top ten cities with most visits are New York, Cambridge, Freiburg, Seoul, Boston, London, Bengaluru, Saint Petersburg, Skopje and Samara.
I am encouraged by the attention received. I will keep updating the site and hopefully the information posted here can be useful to more students and scholars. I am grateful to everyone who contributed to the projects posted on this website. I also want to thank my husband, who is a computer scientist and taught me how to make a website in 2013. I had lots of fun since then.
Some of my relevant research papers:
[1] Yan, B., Li, X., Shi, W., Zhang, X. & Malkawi, A. Building Energy Demand Forecasting under Uncertainty using Gaussian Process Regression and its Applications. In Proceedings of 15th Conference of International Building Performance Simulation Association, San Francisco, 2017 (Forthcoming)
[2] Yan, Bin, and Ali M. Malkawi. 2013. “A Bayesian Approach for Predicting Building Cooling and Heating Consumption.” In Proceedings of 13th International Building Performance Simulation Association Conference. Chambery, France, August 25 – 28.
[3] Yan, Bin. 2013. “A Bayesian Approach for Predicting Building Cooling and Heating Consumption and Applications in Fault Detection.” PhD dissertation, University of Pennsylvania. Available from ProQuest. Paper AAI3594877.