The seventh International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES2023) will take place in Istanbul, TURKEY on November 26-28, 2023. IC-AIRES2023 focuses on the integration of advanced computational approaches with big data, smart theory, and applications in managing, optimizing, communicating, and computing intelligence for renewable energies. The objective Is to provide high-quality research and professional interactions for the advancement of science, technology, and fellowship. The main features of the conference include Invited Talks, Regular Sessions, Special Sessions, keynote, Industry forums, and Student & Young Professionals forums. The world’s industry, researchers and academia are cordially invited to participate in a wealth of presentations, tutorials, special sessions, exhibits, and enjoy the wonderful city of Istanbul.

Main Topics

  • Smart Energetic Management and Electrical
  • IoT, Internet of Things
  • Engineering Efficiency
  • AI-based renewable energy forecasting
  • Optimization of renewable energy systems using AI for a Smart Cities
  • Intelligent control and monitoring of renewable energy systems
  • Micro Grid and Decentralized Energy
  • RnE: Renewable Energetic Systems
  • Knowledge data engineering + E-Learning framework
  • Wireless Communication and Mobile Computing
  • Virtual Reality and Computer Graphics
  • Artificial Intelligence and Business Strategy
  • AI for energy efficiency in buildings
  • AI for sustainability and climate change mitigation
  • Smart Renewables and Fuel Cells, Wind Systems, Solar Systems
  • AI-based fault detection and diagnosis in renewable energy systems
  • AI for grid integration and energy management of renewables
  • Artificial Intelligence
  • Renewable Energies, Green Hydrogen
  • Neural Network & Fuzzy logic Algorithm Genetics, PSO in Renewable energy
  • Renewable Energies & Smart Grids
  • Power electronics, MPPT, DC-DC, SoC
  • Energy Management, Control, Optimization
  • Electrical vehicle and autonomous vehicle
  • Machine learning for energy storage optimization

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