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Starred repositories
GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
Learn the language basics in this 10-part course.
The first open-source Model Context Protocol server enabling AI assistants and applications to interact programmatically with EnergyPlus building energy simulation.
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
pik-piam / PyPSA-China-PIK
Forked from Xiaowei-Z/PyPSA-ChinaPyPSA-China: An Open Optimisation model of the Chinese Energy System
Power systems optimization course materials
Macro allows you to optimize the design and operations of large multi-sector energy systems.
Cursor configuration for LaTeX projects
A tool to quickly and easily create inputs for power systems models
GCAM-China - The Global Change Analysis Model with China provincial-level details
Data for paper "Bilevel Optimal Coordination of Active Distribution Network and Charging Stations Considering EV Drivers’ Responsivity"
Set of tools to combine multiple power plant databases
Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.
PyPSA-USA: An Open-Source Energy System Optimization Model for the United States
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
PyPSA-China: An Open Optimisation model of the Chinese Energy System
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
This repository contains data and code related to TSG paper "Production Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data".
An open-source code repository containing commonly used industrial production process modeling methods, encompassing self-authored implementations of State-Task Networks (STN) and Resource-Task Net…
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 App…
Data and code for our IEEE Power Engineering Letters paper "Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization".
Data and code of my paper "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources"
Data and codes for my paper Co-Optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-Time Frequency Regulation Service
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复