Show HN: Stochastc Unit Commmitment Using Genetic Algorithm

Category: library

Tags: genetic-algorithm, power-market-simulation, energy

Score: 6.0/10 (Innovation: 5, Technical: 8, Documentation: 7, Utility: 4)

Succes is a research-level power market simulator for 15 European bidding zones that uses a genetic algorithm instead of traditional MILP solvers to handle stochastic unit commitment. Its unique approach directly models nonconvex constraints and merit-order pricing, making it an interesting experimental alternative for energy market simulation, though it still has calibration and convergence limitations.

Target audience: energy researchers, power systems engineers, data scientists

Repository: https://github.com/bellpesce/succes · HTML · Apache-2.0

View on Hacker News