Prof. Dr. Viktoria Mironov

Blog Post (Current Academic Topic): "From Centralized to Decentralized: The Paradigm Shift Towards Community-Owned Energy Grids." This blog post academically explores the fundamental shift in energy systems from large, centralized power plants to highly distributed, often community-owned, decentralized energy grids (e.g., solar microgrids, local wind farms). It discusses the technological enablers like blockchain for peer-to-peer energy trading and AI for localized grid management, highlighting the benefits for energy democracy, resilience against blackouts, and reduced transmission losses. It emphasizes the social and economic implications of empowering local communities to control their energy futures. Blog Post (Controversial Topic): "The Algorithmic Grid's Ultimatum: Will AI Impose Energy Rationing for Climate Survival? The Ethical Price of Planetary Sustainability." This article provocatively discusses the highly controversial and unsettling potential for advanced AI-managed smart grids, in the face of severe climate crises or energy scarcity, to autonomously impose energy rationing or prioritize certain essential services over others. It raises profound ethical questions about algorithmic control over fundamental human needs, the potential for exacerbating social inequalities, and the moral burden placed on an AI designed to optimize for planetary survival. It invites a heated and alarming debate on the acceptable limits of AI authority in critical infrastructure and the extreme ethical dilemmas humanity might face in a future shaped by climate change and energy scarcity. Article: "AI for Predictive Maintenance of Distributed Renewable Energy Assets: Enhancing Grid Reliability." This article details the application of AI and machine learning for predictive maintenance of distributed renewable energy assets (e.g., solar panels, wind turbines) within a decentralized grid. It explores how AI analyzes real-time sensor data from these assets to anticipate failures, schedule proactive maintenance, and minimize downtime, significantly enhancing the reliability and efficiency of renewable energy supply. Peer-Reviewed Journal Article: "Self-Healing Grids: Designing Resilient Energy Infrastructure for Climate Change." Published in the Journal of Resilient Energy Systems, this article presents groundbreaking research on the design of self-healing energy grids capable of autonomously detecting, isolating, and restoring power outages in the face of extreme weather events and other disruptions. It details AI-powered algorithms for real-time fault detection, adaptive network reconfiguration, and resilient energy storage integration, providing a blueprint for climate-resilient energy infrastructure. Book: "The Resilient Current: Decentralized Energy Grids and Climate Resilience." This book represents a definitive work for leading advanced research on designing self-healing, decentralized energy grids that integrate diverse renewable sources. It leverages AI for predictive energy management and climate resilience, covering advanced grid architectures, climate adaptation strategies for energy systems, and ethical considerations in energy governance. It is an indispensable resource for Ph.D. candidates and policymakers.