Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach.
Misbaudeen Aderemi AdesanyaHammed ObasekoreAnis RabiuWook-Ho NaQazeem Opeyemi OgunlowoTimothy Denen AkpenpuunMin-Hwi KimHyeon-Tae KimBo-Yeong KangHyun-Woo LeePublished in: Expert Syst. Appl. (2024)
Keyphrases
- parameter tuning
- reinforcement learning
- fuzzy logic controller
- ink bleed
- parameter settings
- optimization algorithm
- global optimization
- control algorithm
- function approximation
- control system
- machine learning
- programming language
- open source
- state space
- objective function
- optimal control
- energy consumption
- neural network
- evolutionary algorithm
- high dimensional
- fault diagnosis
- optimal policy
- control method
- feature selection
- least squares