Información de la conferencia

CESPE 2026: International Conference on Clean Energy Storage and Power Engineering

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CESPE
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Día de Entrega:
2026-09-30 Faltan 6 días
Fecha de Notificación:
2026-10-20
Fecha de conferencia:
2026-12-04
Ubicación:
Chengdu, China
Ediciones:
5
Vistas: 34   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

CESPE 2026 (International Conference on Clean Energy Storage and Power Engineering) is an academic conference held in Chengdu, China on 2026-12-04. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-10-20.

CESPE 2026 provides an international platform for researchers, engineers, students, and practitioners to exchange knowledge and share recent advances in clean energy, power engineering, and optical and photonic technologies for energy applications. We warmly welcome researchers from around the world to submit their latest work and share their insights with fellow participants. Accepted and presented papers will be considered for inclusion in the conference proceedings and submission to EI Compendex and Scopus for indexing. 1. Advanced Energy Storage Technologies and Materials Next-Generation Electrochemical Energy Storage Technologies Supercapacitors, Hybrid Energy Storage and Key Components Hydrogen Energy Storage and Fuel Cells Technologies Long-Duration Energy Storage Technologies Thermal Energy Storage Systems Advanced Energy Storage Materials and System Modeling Optical Characterization and In-Situ Monitoring of Energy Storage Systems Spectroscopic Analysis of Battery Materials and Interfaces 2. Power Electronics, Optoelectronics and Energy Conversion Technologies Power Converters for Renewable Energy Advanced Power Semiconductor Devices and Applications Inverter Control and Grid Stability High-Voltage Direct Current and Flexible AC Transmission Electric Vehicle Charging Technologies Power Electronics Thermal Management and Reliability Optoelectronic Devices and Photonic Technologies for Energy Conversion Optical Measurement and Diagnostics for Power Electronics 3. Renewable Energy, Photovoltaics and Photonic Technologies Solar Photovoltaic Systems and Technologies Wind Energy Conversion Systems Offshore Renewable Energy Technologies Renewable Energy Grid Integration Hybrid Renewable Energy Systems Energy Storage for Renewable Energy Systems Optical Design and Light Management for Photovoltaic Systems Photonic Structures and Materials for Solar Energy Conversion Optical Characterization of Photovoltaic Materials and Devices Spectral Conversion and Photon Management for Photovoltaics Solar Thermal and Optical Concentrator Technologies Radiative Cooling and Thermal Photonics for Energy Systems 4. Optical Sensing, Imaging and Photonic Technologies for Energy Systems Fiber-Optic Sensing for Energy Systems Distributed Optical Fiber Sensing Photonic Sensors and Optoelectronic Sensors Laser-based Sensing and Diagnostics Optical Spectroscopy and Raman Spectroscopy Infrared Thermal Imaging for Energy Equipment Hyperspectral and Multispectral Imaging Optical Measurement and Characterization Machine Vision for Energy Equipment Inspection Optical Monitoring of Batteries and Energy-Storage Systems Remote Optical Sensing for Renewable Energy Systems 5. Smart Grid, Optical Communications and Intelligent Energy Systems Smart Grid Architecture and Automation Microgrid Design and Operation Control High-Penetration Renewable Energy Integration and System Stability Demand Response and Virtual Power Plants Grid Resilience, Defense Restoration and Cyber Security Fiber-Optic Communication and Sensing Technologies for Smart Grids Optical Monitoring and Fault Diagnosis of Power Equipment 6. Digitalization, AI and Computational Optics for Sustainable Energy Artificial Intelligence Applications in Energy Systems Internet of Things (IoT) and Big Data Analytics in Energy Digital Twins and Predictive Maintenance Intelligent Energy-System Optimization Machine Learning for Optical Sensing and Imaging Computational Imaging for Energy Applications AI-assisted Optical Inspection and Monitoring Hyperspectral and Multispectral Data Processing Digital Twins for Energy Equipment
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