This repository contains data and code related to my new research project on approximating the Energy-Regulation Feasible Region of Virtual Power Plants using a Data-driven Inverse Optimization Approach.
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
Develop plan optimization models for knowledge-based planning in radiotherapy
An open-source Python package to solve Inverse Optimization problems.
Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
An Open Source Deep Learning Framework for Solving Inverse Optimization Problem
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