Our Data & Machine Learning expert Markus Iwanczok had the privilege of delivering a talk at Al Akhawayn University, diving deep into how Agentic AI and Digital Twin technologies are revolutionizing the solar park planning and optimization process. By immersing itself in the complex analysis of solar park configurations and locations, Agentic AI goes beyond traditional application design, pushing the boundaries of AI-supported planning π.
The talk highlighted the creation of a sophisticated data architecture that generates real-time mock data, simulating various weather conditions and outliers, essential for making informed decisions in solar energy management π. This process involves leveraging advanced AI tools like Roo Code to automate and enhance the development process, cutting down the time needed for coding and project execution, enabling faster decision-making and planning β‘.
The session also delved into Requirements Engineering using AI, where our expert demonstrated how AI-assisted workshops, proactive problem statement formulation, and incremental planning are transforming the way we approach complex energy projects. With AI-guided roadmap development, we showcased how AI can define project guardrails, assist in context-aware decision-making, and provide real-time collaboration capabilities for efficient implementation.
By integrating multi-modal AI support, autonomous problem-solving, and intelligent code automation, we are paving the way for more efficient, innovative, and scalable solar energy solutions. Itβs a testament to the power of AI in pushing the boundaries of energy planning and optimization.
#AI #DigitalTwin #SolarInnovation #MachineLearning #EnergyTech #SmartPlanning #AgenticAI #AutonomousSystems #AUI