ExaGO
Optimization toolkit
Software toolkit for solving complex power grid optimization problems
High-performance power grid optimization for stochastic, security-constrained, and multi-period ACOPF problems.
68 stars
11 watching
9 forks
Language: C++
last commit: about 1 month ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 grid-parity-exchange/egret | A Python-based package for solving optimization problems in power systems | 133 |
 nrel/dynamo | A toolkit for using dynamic programming in optimization tasks with adaptive modeling. | 46 |
 lanl-ansi/powermodelsannex.jl | A collection of experimental power system optimization methods and tools | 22 |
 openego/edisgo | Analyzes flexibility options in distribution grids to optimize expansion and investment | 38 |
| lanl-ansi/powermodels.jl | A Julia package for solving power network optimization problems using various formulations and algorithms. | 399 |
 jiaowenlong/pso | An implementation of the Particle Swarm Optimization algorithm in MATLAB, providing a tool for optimizing complex problems | 84 |
 power-grid-lib/pglib-opf | A repository containing benchmark libraries and network data for evaluating algorithms solving the AC Optimal Power Flow problem | 306 |
 rflamary/nonconvex-optimization | A Matlab toolbox providing a generic solver for proximal gradient descent in convex and non-convex optimization problems with various regularization terms. | 49 |
 stevengj/nlopt | A unified interface and packaging of several nonlinear optimization libraries for global and local optimization. | 1,892 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |
 lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
 metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 544 |
 auralius/yadpf | An implementation of dynamic programming algorithms and value iteration methods for optimization problems in various fields | 6 |
 najaeda/naja | Provides data structures and APIs for optimizing electronic design automation algorithms | 66 |
 ibm/rl-testbed-for-energyplus | Tool for optimizing power consumption using reinforcement learning | 189 |