Optimizing integrated energy systems using a hybrid approach blending grey wolf optimization with local search heuristics

This publication has 16 references indexed in Scilit:

• A novel hybrid optimization framework for sizing renewable energy systems integrated with energy storage systems with solar photovoltaics, wind, battery and electrolyzer-fuel cell
  Energy Conversion and Management, 2023
• Collaborative optimal scheduling of shared energy storage station and building user groups considering demand response and conditional value-at-risk
  Electric Power Systems Research, 2023
• A Stackelberg Game-based robust optimization for user-side energy storage configuration and power pricing
  Energy, 2023
• A multi-level multi-objective strategy for eco-environmental management of electricity market among micro-grids under high penetration of smart homes, plug-in electric vehicles and energy storage devices
  Journal of Energy Storage, 2023
• A rule-based energy management strategy for a low-temperature solar/wind-driven heating system optimized by the machine learning-assisted grey wolf approach
  Energy Conversion and Management, 2022
• Enhanced energy output from a PV system under partial shaded conditions through grey wolf optimizer
  Cleaner Engineering and Technology, 2022
• Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems
  Advances in Applied Energy, 2022
• Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization
  Energy, 2021
• Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview
  Journal of Energy Storage, 2021
• Self-ordering dual-layered honeycomb nanotubular titania: Enhanced structural stability and energy storage capacity
  Applied Surface Science, 2017