Energy Informatics and Intelligent Systems: IoT, AI, and Machine Learning Applications
submission deadline
31 Jul 2026
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Viewed by 403
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Submission Open
Keywords: IoT architectures for energy systems, including sensing strategies, edge intelligence, communications, and data acquisition; data analytics and time series analysis for energy systems, including forecasting, event detection, and pattern discovery; AI and machine learning for energy monitoring, diagnostics, anomaly detection, and fault classification; digital twins, hybrid model-based and data-driven analytics, and physics-informed learning; prognostics and health management and condition-based maintenance for energy assets; optimisation and intelligent control supported by predictive and prescriptive analytics; uncertainty-aware analytics, probabilistic methods, risk and reliability assessment; explainable, trustworthy, and auditable AI and analytics for energy applications; scalable data engineering and analytics platforms for energy systems, including clustering, information retrieval, and similarity search; generative AI for energy applications, including LLM-based analytics, knowledge retrieval, summarisation, and operator assistance; theoretical and experimental advances in spiking neural networks (SNNs) for scalable and energy-efficient analytics platforms, including edge deployment and model compression, enabling real-time energy monitoring, diagnostics, and control
