AI Leading the Future of Photovoltaic Storage, Yuneng Technology Builds a Diverse Smart Energy Ecosystem!

1、Integration of Optical Storage and AI Empowerment

All along, Yuneng Technology has focused on integrating optical storage, deeply positioning itself for a wide range of application scenarios. In the micro-light storage sector, we have launched the EZ1 and EZHI series products, allowing users to easily create dedicated power stations for energy supply. In residential storage scenarios, 20A high-current micro-inverters paired with ELS/ELT series are precisely suited to meet diverse household needs; QT2 series and Ocean series energy efficiency.

Relying on a distributed full-scene product matrix, Yuneng Technology has deeply integrated AI into its products and business scenarios, from pre-sales intelligent power station design to mid-sales optimization of energy management solutions, fault prediction, and operational value. At the same time, the company integrates its enterprise knowledge base, blending large language models (LLM) with RAG technology to develop an APbot intelligent customer service system that covers pre-sales consultation, mid-sales follow-up, and after-sales support, providing customers with smarter and more reliable digital energy solutions.

2、Multi-Scenario Empowerment: AI Revolutionizing Energy Management

Yuneng Technology leverages AI to empower energy management, deeply covering multiple core business scenarios. In household energy management, Yuneng Innovation has introduced the "BESS AI" model, bringing about intelligent transformation. The model employs deep learning algorithms to deeply analyze users' historical photovoltaic power generation and consumption data, integrating regional dynamic electricity prices and other diverse data to accurately predict the next day's electricity usage. Based on this, a comprehensive assessment of the match between photovoltaic power supply and household electricity demand is conducted, generating highly customized "one household, one policy" battery charging and discharging strategies. After the strategy is generated, the system automatically distributes energy to balcony storage and household storage devices, intelligently allocating power resources to enhance utilization efficiency. Through the "BESS AI" model, users can reduce the cost of purchasing electricity from the grid while maximizing price benefits by leveraging the peak-valley price differential mechanism, thereby enhancing both household energy intelligence management and economic efficiency.

In terms of enterprise energy management, the company has obtained power sales qualifications from Jiangsu Power Trading Center. Leveraging the "Power Spot Trading Auxiliary Decision Platform," it leverages big data and AI technology to bring intelligent energy management solutions to electricity companies. The platform achieves regional electricity price prediction and industry-specific load forecasting by comprehensively analyzing vast amounts of data, thereby customizing intelligent charging and discharging strategies for enterprises. It accurately matches a company's electricity load curve, immediately mobilizing storage equipment for corrections in case of reverse power supply; real-time monitoring of price fluctuations to intelligently start charging during off-peak periods and effectively reduce costs; when storage is sufficient, it can proactively plan for additional benefits. By leveraging multifunctional synergies, we help enterprises optimize energy allocation, reduce electricity costs, and achieve synchronized improvements in energy management efficiency and economic benefits.

3, Multidimensional Innovation Empowering Customer Experience with AI

In terms of customer service optimization, Yuneng Technology has introduced the "AP Designer" power station design tool, deeply integrating image recognition, image processing, real-time simulation, and digital virtualization. It can quickly and accurately analyze roof conditions, tree distribution, and AI DDAP 3. Convenient service experience.