Energy & Utilities: Emerging Technologies and Innovation Management
Description
Forward-looking analysis of disruptive technologies reshaping utilities including AI/ML, blockchain, quantum computing, advanced materials, and innovation governance frameworks.
Learning Objectives
Enable learners to evaluate, pilot, and scale emerging technologies in utility environments while managing innovation portfolios, technology readiness assessments, and risk-balanced transformation roadmaps.
Topics (8)
Predictive analytics, computer vision for asset inspection, NLP for customer service, reinforcement learning for grid optimization.
Quantum algorithms for portfolio optimization, grid dispatch, molecular simulation for materials science.
Smart contracts, energy tokens, decentralized energy markets, carbon credit tracking, grid edge transactions.
Perovskite solar cells, solid-state batteries, superconducting materials, graphene applications.
Real-time asset twins, grid simulation models, predictive maintenance, scenario planning platforms.
Edge analytics, low-latency control systems, massive IoT connectivity, private 5G networks for utilities.
Corporate venture capital, innovation challenges, proof-of-concept programs, ecosystem partnerships.
TRL assessments, pilot design, risk matrices, technology roadmapping, governance for emerging tech adoption.