The 2nd New Energy Smart Station Construction Conference 2026 will be held in Suzhou on November 26-27

In recent years, the maturation of technologies such as the Internet of Things, artificial intelligence, big data, and robotics has provided solid support for the unattended operation and smart construction of new energy stations. Through the application of technologies such as remote monitoring, intelligent diagnostics, automated inspection, and predictive maintenance, station operation and maintenance efficiency has been greatly improved, and safety and economic performance have been significantly enhanced. However, in the process of technology implementation, problems still exist, such as inconsistent standards, insufficient system compatibility, and inadequate exploitation of data value. For this reason, CPEM National Power Equipment Management Network plans to hold the "2026 2nd New Energy Smart Station Construction Conference and New Energy Station Unattended Operation Technology Exchange Conference" and the "2026 New Energy Industry Intelligent Inspection Conference" in Suzhou, Jiangsu Province, on November 26-27, 2026. I. Conference Introduction (I) Conference time: November 26-27, 2026 (conference registration at 14:00 on the 25th) (II) Conference location: Suzhou, Jiangsu (III) Concurrent event: "New Smart Award" 2026 New Energy Smart Station Innovation Selection Award Ceremony (IV) Conference scale: 500+ people III. Participants Power generation groups, new energy owner units, wind power and photovoltaic investors, system providers, module manufacturers, operation and maintenance companies, experts from universities and research institutions, artificial intelligence enterprises, intelligent operation and maintenance vendors, technology and equipment suppliers, solution providers, etc. IV. Proposed topics (including but not limited to the following topics) (I) Top-level design and overall architecture of smart stations Policy orientation and development path of the unattended operation model for new energy stations Standards for digital delivery and full asset lifecycle management of new energy stations Smart integrated design specifications for multiple types of new energy stations (wind-solar-storage integration) Research on smart grading evaluation standards for wind power/photovoltaic/energy storage stations Technical specifications for digital tracking of "carbon footprint" in smart station construction (II) Innovation and practice of the unattended station model Optimization of operation and maintenance personnel allocation and skills transformation under the unattended operation model of wind farms Practical cases of full-scenario unmanned inspection of photovoltaic power stations Key challenges of safety control for unattended energy storage stations Technical solutions for special scenarios of unattended offshore wind farms Environmental adaptability design for unattended photovoltaic power stations in desert/plateau areas (III) Digital platform construction and data governance Exploration of data assetization management paths for new energy stations Overall architecture design of "one-stop" digital platforms for new energy stations Microservice-based platform development: module decoupling, elastic expansion, and cross-system integration Practice of connecting digital platforms of new energy stations with provincial/regional energy management platforms Construction of digital twin models for new energy stations (IV) Key technologies of centralized control centers and centralized monitoring Design of "one map" panoramic monitoring systems for multi-station centralized control centers Real-time data processing technology for centralized control centers Construction of centralized monitoring indicator systems for multiple types of equipment in wind power/photovoltaic/energy storage Collaborative decision-making mechanisms of centralized control centers under multi-station joint dispatch scenarios Optimization of anomaly detection algorithms for centralized control centers (V) Intelligent inspection of new energy stations (UAV/robot/satellite remote sensing) Multi-scale collaborative inspection networks of satellite remote sensing + UAVs + ground robots Application of high-resolution satellite imagery in site selection and operation and maintenance of new energy stations Wide-area transmission corridor inspection based on UAV-satellite data fusion Dynamic updating and simulation deduction of digital twins of new energy stations Application of embodied intelligent agents in autonomous obstacle avoidance and task decision-making of UAVs (VI) Application of satellite and remote sensing technologies Application of meteorological satellite data in new energy resource assessment and output characteristic analysis Technical practice of intelligent identification of hot spots, shading, and dust accumulation defects of photovoltaic modules based on satellite remote sensing Monitoring of surface deformation, ecological impact, and safety buffer zones of wind farms based on satellite remote sensing BeiDou positioning + satellite communication: bridging the "last mile" of unattended communication for remote stations (VII) Meteorological services and power forecasting From numerical weather prediction to AI large models: technical paths for leapfrog improvement of wind and solar power forecasting accuracy Early warning of extreme meteorological disasters such as typhoons, icing, and thunderstorms and active defense systems for stations Assessment of the impact of extreme weather on new energy output and equipment safety under the background of climate change Quantitative analysis of the economic value of power forecasting accuracy in the electricity spot market environment (VIII) Application of artificial intelligence and big data technologies Application of deep learning in wind power forecasting Photovoltaic module degradation rate prediction models Digital twin-driven simulation of wind farm wake effects and improvement of power generation efficiency Root cause analysis of equipment failures in new energy stations Fault diagnosis of new energy equipment in small-sample scenarios (IX) Cybersecurity and communication technology assurance Security protection of industrial control systems (ICS) in new energy stations Security hardening technologies for industrial protocols (Modbus/OPC UA) Application of cybersecurity situational awareness platforms in new energy stations Adaptation and performance optimization of data transmission encryption technologies for new energy stations Low-latency, high-reliability application of 5G/6G slicing technology in remote control of new energy stations (X) Intelligent dispatch and optimized operation Intelligent dispatch strategies for wind-solar-storage multi-energy complementary stations Station operation optimization based on digital twins Intelligent bidding models for new energy stations participating in the electricity market Multi-objective optimal control of energy storage systems in unattended stations Intelligent optimization of wind turbine yaw alignment strategies (XI) Predictive maintenance and fault diagnosis Remaining useful life prediction of wind turbine main shaft bearings Fault warning for IGBT modules of photovoltaic inverters Evaluation of capacitor aging status of energy storage PCS Cross-station sharing of equipment failure modes based on transfer learning Interpretability optimization of fault warning and diagnosis systems (XII) Remote control and unattended technology verification Technical verification of remote switching operations in wind farm booster stations Reliability testing of remote opening and closing of combiner boxes in photovoltaic power stations Safety verification of remote start-stop and power adjustment of PCS in energy storage stations Closed-loop verification cases of full-process operations in unattended stations Remote emergency control plans for unattended stations under extreme weather Conference site photos "New Smart Award" award ceremony Exhibition area highlights (This article is contributed by CPEM National Power Equipment Management Network and does not represent the views and position of this website. The article content is for reference only. If media or individuals' intellectual property rights are unintentionally infringed, please call or write to inform us, and this website will handle it as soon as possible. Images are authorized for publication, and copyright belongs to the original author.)