Saudi Energy has acquired a stake in UK-based Kraken Technologies, a subsidiary of Octopus Energy Group, specializing in AI-enabled technology for smart grids and energy management. This acquisition includes the establishment of a joint venture headquartered in Riyadh. The partnership aims to localize advanced energy technology within the Kingdom. Why it matters: This strategic collaboration is significant for advancing energy technology and smart grid solutions in Saudi Arabia, aligning with national goals for technological development and energy efficiency under Vision 2030.
AI is being implemented across various sectors in the UAE, including banking, aviation, and utilities, to enhance customer service and operational efficiency. Emirates NBD uses AI to analyze customer data for personalized services, while airlines employ AI for predictive maintenance and optimized flight routes. Utility companies are leveraging AI for smart grids and optimized energy consumption. Why it matters: This widespread adoption of AI signals the UAE's commitment to becoming a technologically advanced nation and improving citizen services through AI.
Khaled Alrashed, president and CEO of Saudi Electricity Company for Projects Development, discussed the challenges of future smart cities at a KAUST event. He emphasized the importance of smart grids, AI, and large-scale optimization for improving urban living. The Saudi Electricity Company is partnering with KAUST, including using the Shaheen supercomputer, to develop these technologies and predict grid load. Why it matters: This collaboration highlights Saudi Arabia's ambition to become a leader in smart city technology and renewable energy, leveraging local expertise and resources.
KAUST hosted the "Human-Machine Networks and Intelligent Infrastructures" conference, co-organized by Prof. Jeff Shamma and Asst. Prof. Meriem Laleg. The conference explored the blend of engineered devices and human elements in large-scale systems like smart grids. Keynote speaker Dr. Pramod Khargonekar discussed cyber-physical-social systems and emerging trends. Why it matters: The conference highlights the growing importance of understanding the interplay between AI, infrastructure, and human behavior in the development of smart cities and intelligent systems in the region.
To meet Net Zero Emissions goals, governments and corporations need to drive a wholesale energy transition. Current energy grids are outdated and need to be updated to handle renewable energy's specific demands. Research at MBZUAI is helping to create smarter grids by using AI to monitor and measure energy flow in real-time. Why it matters: AI-empowered smart grids can help accelerate the energy transition by enabling more efficient and reliable use of renewable energy sources.
MBZUAI researchers are applying federated learning to optimize smart grids while protecting user data privacy. This approach leverages techniques from smart healthcare systems to enhance energy efficiency and local energy sharing. The research addresses the challenge of balancing grid optimization with the risk of user identity theft associated with traditional data-intensive smart grids. Why it matters: This research demonstrates a practical application of privacy-preserving AI in critical infrastructure, addressing key concerns around data security and fostering trust in smart grid technologies.