activity
20232026
most citedAnalyzing State-Level Longevity Trends with the U.S. Mortality Database

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.CP2026

Battery Storage Co-Optimization in Day-Ahead and Real-Time Markets with Bayesian Optimization

Thiha Aung, Mike Ludkovski

We propose Adaptive Refinement Bayesian Optimization for Day-Ahead and Real-Time (ARBO-DART) markets, an algorithm for BESS intraday dispatch co-optimization in which day-ahead (DA…

math.OC2025

Intraday Battery Dispatch for Hybrid Renewable Energy Assets

Thiha Aung, Mike Ludkovski

We develop a mathematical model for intraday dispatch of co-located wind-battery energy assets. Focusing on the primary objective of firming grid-side actual production vis-a-vis t…

cs.LG2024

Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes

Qiqi Li, Mike Ludkovski

We design a Gaussian Process (GP) spatiotemporal model to capture features of day-ahead wind power forecasts. We work with hourly-scale day-ahead forecasts across hundreds of wind…

stat.AP2024★ 1 cited

Analyzing State-Level Longevity Trends with the U.S. Mortality Database

Mike Ludkovski, Doris Padilla

We investigate state-level age-specific mortality trends based on the United States Mortality Database (USMDB) published by the Human Mortality Database. In tandem with looking at…

q-fin.PM2023★ 1 cited

Least-Cost Structuring of 24/7 Carbon-Free Electricity Procurements

Mike Ludkovski, Saad Mouti, Glen Swindle

We consider the construction of renewable portfolios targeting specified carbon-free (CFE) hourly performance scores. We work in a probabilistic framework that uses a collection of…