GoodWe’s Dual Projects Selected for Suzhou’s AI+Manufacturing Initiative, Empowering New Industrialization with Virtual Power Plant Intelligence

GoodWes

Recently, Suzhou held a conference to promote new industrialization, during which the “AI+ Manufacturing” Innovation Development Conference took place. Three lists were released, focusing on large industrial models, industrial datasets, and typical application scenarios empowered by artificial intelligence, all aimed at driving the transformation and upgrading of the manufacturing industry.

Grepow Technology Co., Ltd. was recognized for its project “Virtual Power Plant Collaborative Optimization Intelligent Agent for ‘Source-Grid-Load-Storage Intelligence'” as a typical application scenario of AI-enabled new industrialization in Suzhou. Additionally, Grepow Group’s Huidian Technology was acknowledged for its “Expert Strategy Dataset for ‘Source-Grid-Load-Storage’ Scenarios,” which was included in the high-quality datasets for the manufacturing sector.

As a leading enterprise in the new energy power equipment sector, Grepow has long adhered to an integrated strategy centered around “Source-Grid-Load-Storage Intelligence.” The company is committed to leveraging digital and intelligent technologies to address the challenges faced by the new power system. The recognized “Virtual Power Plant Collaborative Optimization Intelligent Agent Project” is one of the key achievements of this strategy. This project aims to tackle inherent issues such as volatility and distribution in new energy power systems by constructing an intelligent platform that integrates data collection, governance, analysis, and optimization.

The platform incorporates over 50 AI algorithms, enabling proactive decision-making and global optimization collaboration. It can intelligently schedule power resources, grids, loads, and storage, participating in regional grid regulation and electricity market transactions, thereby significantly improving energy utilization efficiency and system operational stability.

The development of intelligent agent capabilities relies on robust decision-making support. The “Expert Strategy Dataset for ‘Source-Grid-Load-Storage’ Scenarios,” which was also recognized, is a high-value digital asset formed by systematizing, standardizing, and making learnable the decision logic of power system experts. This dataset transforms human experience into structured knowledge that can be understood and reused by machines, serving as a crucial foundation for building large models and expert intelligent agents in the energy sector.

Previously, the related achievement “Intelligent Agent for Source-Grid-Load-Storage Based on Energy Data” won third place in the “Data Elements x” competition’s green low-carbon track in Jiangsu in 2025, further validating its technological advancement and application value.

Under the continuous promotion of policies that drive deep integration between technological innovation and industrial innovation, Grepow is further deepening the integration of “AI+ Energy” technology and scenario innovation. The company actively advances the implementation of zero-carbon parks and virtual power plant new energy innovation scenarios, accelerating the release of energy data element value. This effort injects stronger intelligent momentum into building a new power system and promoting a green and low-carbon transformation of the economy and society.

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