Teaching

EEEL4257 Energy System Economics and Optimization

Teaching Assistant, Columbia University, Earth and Environmental Enginnering, 2022

Fundamental of power system economics over which the current electricity markets are designed. Formulation of unit commitment and economic dispatch as mathematical optimization. Modeling of thermal generators, renewable generators, energy storage, and other grid resources in power system optimization. Introduction of equilibriums in electricity markets. Introduction of ancillary service markets. Overview of current energy system research topics.

EAEE4257 ENVIR DATA ANALYSIS & MODELING

Teaching Assistant, Columbia University, Earth and Environmental Enginnering, 2022

Introduction parametric and non-parametric statistical models applied to climate and environmental data analysis. Time and space data analysis methods will be focused, including clustering, autoregressive models, trend analysis, Bayesian analysis, missing data imputation, geostatistics, principal components analysis. Application to problems of climate variation and change; hydrology; air, water and soil pollution dynamics; disease propagation; ecological change; and resource assessment. The class requires the use of R with hands-on programmings and a term project applied to a current environmental data analysis problem.

Risk and Decision Analysis

Teaching Assistant, Johns Hopkins University, Environmental Health Enginnering, 2019

This class introduces the decision analysis approach to making decisions under risk and uncertainty. Topics covered include decision trees, Bayes law, value of information analysis, elicitation of subjective probabilities, multiattribute utility, and their applications to environmental and energy problems. Textbook: R.T. Clemen, Making Hard Decisions, 2014. Recommended Course Background: introductory statistics and probability.

Environmental Health Enginnering System Design

Teaching Assistant, Johns Hopkins University, Environmental Health Enginnering, 2019

A collection of systems analytic techniques which are frequently used in the study of public decision making is presented. Emphasis is on mathematical programming techniques. Including linear programming, duality, integer and mixed-integer programming, multiobjective programming, dynamic programing, and stochastic programing.