8 citations · 8 across the 4 of their papers we have counts for
4 papers · 1 filter
Revealing the empirical flexibility of gas units through deep clustering
Chiara Fusar Bassini, Alice Lixuan Xu, Jorge Sánchez Canales +2
The flexibility of a power generation unit determines how quickly and often it can ramp up or down. In energy models, it depends on assumptions on the technical characteristics of…
Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
David Friederich, Lynn H. Kaack, Alexandra Luccioni +1
It is important for policymakers to understand which financial policies are effective in increasing climate risk disclosure in corporate reporting. We use machine learning to autom…
Truck Traffic Monitoring with Satellite Images
Lynn H. Kaack, George H. Chen, M. Granger Morgan
The road freight sector is responsible for a large and growing share of greenhouse gas emissions, but reliable data on the amount of freight that is moved on roads in many parts of…
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack +19
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a po…