Using Hyperparameter Tuning via Deep Reinforcement Learning to Optimize Energy Storage Systems in an Integrated Energy System

Proceedings Paper (Web of Science)

• cited authors: Mattimadugu, Kranthikiran; Mahmud, Sadab; Katikaneni, Sravya; Javaidl, Ahmad; Heben, Michael J.; Walker, Victor; Yi, Zonggen; Westover, Tyler; Khanna, Raghav; IEEE
• publication date: January 1, 2024
• webpage: Web of Science
• published in: 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024 Book
• category: ENGINEERING, ELECTRICAL & ELECTRONIC Category

keywords

• Nuclear power plant
• bayesian optimization
• deep reinforcement learning
• energy storage systems
• hyperband
• hyperparameter tuning
• integrated energy systems