Rick10119
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Comstock_Building_Energy_Prediction Public
Forked from zh-wu22/Comstock_Building_Energy_PredictionPython UpdatedAug 3, 2025 -
Data and code for our TSG paper on how to accelerate the RTN model for discrete industrial production processes.
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MacroEnergy.jl Public
Forked from macroenergy/MacroEnergy.jlMacro allows you to optimize the design and operations of large multi-sector energy systems.
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Data and code of my paper "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources"
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MacroEnergyExamples.jl Public
Forked from macroenergy/MacroEnergyExamples.jlExample multi-sector energy systems for Macro (MacroEnergy.jl)
1 UpdatedJun 24, 2025 -
Data and code for our paper "An Incentive-Compatible Frequency Regulation Market".
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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…
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Data and codes for my paper Co-Optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-Time Frequency Regulation Service
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# DPAAS: A Data-Driven Framework for Assessing Building Demand Response Potential at Scale
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担任能源互联网运行、调度与规划助教期间设计的课程作业，可以作为研究生学习优化编程/虚拟电厂运行的基础入门教程
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PyPSA Public
Forked from PyPSA/PyPSAPyPSA: Python for Power System Analysis
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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".
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Integrating-Fast-response-Capability-into-Virtual-Power-Plant-Operation-for-Ancillary-Services Public
Data and code of our new paper
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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…
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Data and code for our IEEE Power Engineering Letters paper "Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization".
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本项目复现了最优虚拟电池（OVB）模型，用于测试其用于工业用户的的计算性能和优化效果，用来对比我们的模型《基于最优可调负荷模型的工业过程用电可行域建模方法》（已被EI收录）。
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Renewable-Reliabillity Public
本项目利用 Atlite 库，基于历史气象再分析数据计算了中国区域 2020 年的风电和光伏出力因子时间序列。出力因子反映了可再生能源在不弃电情况下的实际出力与装机容量之比。
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ModernPowerSystem Public
homework from the class Modern Power System in Tsinghua Univ.
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atlite Public
Forked from PyPSA/atliteatlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
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STLF_WeatherAcconting Public
short term load forecasting considering the influence of weather conditions
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EV-Wind-Coordinatioin Public
Emission-concerned wind-electric vehicle (EV) coordination on the transmission grid side
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