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GCL-Poly and Ant Group Host Spring Summit on New Energy Digital Assets, Exploring Applications of Temporal Models in Photovoltaics

GCL-Poly

On March 26, the Spring Summit for the New Energy Digital Asset Community was held at the Suzhou GCL Energy Center, co-hosted by GCL Energy Technology and Ant Group’s Digital Technology. The conference focused on topics such as new energy digital assets and Web3, attracting nearly 100 members from the new energy digital asset community.

During the event, GCL Energy Technology and Ant Group jointly launched the Time Sequence Large Model Integrated Machine, marking the first practical application case in the photovoltaic sector. GCL Energy Technology specializes in the operation of clean energy assets and energy services. With over 30 years of industry experience, the company has innovatively built an AI + Energy ecosystem, encompassing clean energy production, virtual power plants, energy storage, and carbon asset management, with the aim of becoming a leading global provider of green energy services.

Particularly in the current wave of digital revolution and industrial transformation, GCL Energy Technology is actively exploring integration paths around digital industrialization and industrial digitalization. In December of last year, GCL Energy Technology, in collaboration with Ant Group, successfully issued the country’s first and largest photovoltaic green asset RWA, pioneering a new financing model that integrates digital and physical assets to support the transformation of “green production” into “green capital.”

Shortly thereafter, led by Ant Group, GCL Energy Technology and various enterprises from the new energy, technology, and finance sectors collectively initiated the establishment of the new energy digital asset community.

As one of the core pathways for green energy transition, photovoltaic power generation faces challenges due to its large-scale, dispersed installed capacity and the non-stable characteristics of its power output, which significantly impact asset operational efficiency. The launch of the Time Sequence Large Model Integrated Machine aims to enhance the efficiency of power resource development and operation, as well as improve the yield of derivative services.

“This summit for the new energy digital asset community represents a deep interaction between GCL Energy Technology and Ant Group, promoting the digital attributes of new energy assets,” stated a representative from GCL Energy Technology. The company is both a beneficiary of digital technology and a provider of energy digitalization solutions. The exploration of the first photovoltaic scenario application of the energy sector’s time sequence large model is a significant innovative measure in GCL Energy Technology’s ongoing commitment to energy industrialization, low-carbon transformation, and energy digital intelligence.

At the summit, GCL Energy Technology also officially commenced the drafting of the Trusted Blockchain Technical Specifications for On-Chain Verification of Physical Assets. GCL Energy Technology provided mature case studies for core frameworks, such as “Data Authenticity Verification” and “Unique Device Identity Authentication.” This specification is the first in the country to focus on the technical norms for on-chain verification of physical asset RWAs, laying a credible foundation for the trillion-dollar RWA market.

Experts from various fields, including Tsinghua University, CITIC Securities, and China Academy of Information and Communications Technology, shared insights on topics such as Web3 technology, green finance, and the global expansion of new energy. Industry insiders noted that the deep collaboration between GCL Energy Technology and Ant Group exemplifies the resonance between the digital economy and the energy sector, facilitating the integration of asset and transaction chains, and injecting new vitality into the new energy industry through AI.