Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization

Author:

Ghione Giorgia1,Randazzo Vincenzo1,Recchia Alessandra2,Pasero Eros1,Badami Marco2

Affiliation:

1. Politecnico di Torino,DET,Turin,Italy

2. Politecnico di Torino,DENERG,Turin,Italy

Publisher

IEEE

Reference30 articles.

1. Improved Particle Swarm Optimization for Combined Heat and Power Economic Dispatch

2. Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units

3. Optimization of a novel carbon dioxide cogeneration system using artificial neural network and multi-objective genetic algorithm

4. Static and dynamic neural networks for simulation and optimization of cogeneration systems;zomorodian;International Journal of Energy and Environmental Engineering,2011

5. Model-based regularization for deep reinforcement learning with transcoder networks;leibfried,2018

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