This comprehensive workshop covers the integration of AI in renewable energy, smart grids, energy storage, and market trading. Participants will learn cutting-edge AI technologies to forecast energy demand, manage grids, and optimize energy efficiency for industrial and commercial applications.
Aim
To provide PhD scholars and academicians with advanced skills in applying AI for optimizing energy sector operations, including renewable energy forecasting, smart grid management, and energy storage. This course equips learners with the knowledge to use AI for improving energy efficiency, optimizing storage, and making data-driven energy market predictions.
What Participants Will Learn
Understand the role of AI in optimizing the energy sector.
Use AI for forecasting and managing renewable energy sources.
Apply AI for smart grid management and fault detection.
Implement AI solutions for optimizing energy storage systems.
Analyze energy market trends using AI-based models.
Structure
Introduction to AI in the Energy Sector
Importance and benefits of AI in energy
Key applications and future trends
AI in Renewable Energy Forecasting
AI for solar, wind, hydropower forecasting
Weather prediction for renewable energy
AI for Energy Distribution through Smart Grids
AI in smart grids, load balancing, and fault detection
AI for Energy Storage Optimization
AI-driven battery management and grid-scale storage
Predictive maintenance for energy storage
AI in Energy Market Trading and Policy Modeling
AI for real-time pricing, demand prediction, and carbon trading
AI for Optimizing Energy Efficiency in Industrial and Commercial Sectors
AI-driven energy management systems and smart building technologies
Important Dates
Workshop Dates
2024-09-17
What You Will Gain
Outcomes
Build AI models for renewable energy forecasting and grid management.
Optimize energy storage and distribution systems using AI.
Predict energy demand and market trends with AI-based tools.
Enhance energy efficiency in industrial and commercial settings.
Who Should Attend
AI researchers, data scientists, energy professionals, sustainability experts, and academicians in energy-related fields.
