abdelrahman-ayad

With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.

Language:PythonMIT5500

2021-CS109A

Language:Jupyter NotebookMIT13100

SOC

Structure-oriented optimization & control

Language:PythonMIT200

tutorial-grid-science

Julia Tutorial Materials for the Grid Science Tools

Language:MATLABMIT4200

rosetta-opf

AC-OPF Implementations in Various NLP Modeling Frameworks

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StochasticPowerModels.jl

An extension package of PowerModels.jl for Stochastic (Optimal) Power Flow

Language:JuliaBSD-3-Clause1300

N-1_SCUC

Benders decomposition method is implemented to solve the N-1 security-constrained unit commitment (N-1 SCUC) that considers all contingency-case network constraints. This work is under an open license: CC BY 4.0.

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TEP_SNO

Transmission Expansion Planning (TEP) with Seasonal Network Optimization. This repo implements three different TEP models in AMPL. This work is under an open license: CC BY 4.0.

Language:AMPL200

ECE6379_PSOM_AMPL_Sample_Codes

This repo provides 30 AMPL programs, including simple tutorial-level examples and codes for course-level DCOPF, SCUC and LMP examples that are used for the class ECE6379 Power System Operations and Modeling at University of Houston for 2021 Fall.

Language:AMPL100

RT-SCED

Real-time security-constrained economic dispatch (i.e. optimal power flow). This set of codes aims to provide a benchmark that mimics the commercial RT-SCED tool used by the Independent System Operators (ISO). This work is under the open license: CC BY 4.0.

Language:Python1700

abdelrahman-ayad