Zhejiang Power Exchange Center Files Patent for "Power Trading Method and System for Integrated Energy Services," Boosting Trading Efficiency

Zhejiang Power Exchange Center Files Patent for "Power Trading Method and System for Integrated Energy Services," Boosting Trading EfficiencyOn February 13, 2025, the State Intellectual Property Office of China revealed that Zhejiang Power Exchange Center Co., Ltd

Zhejiang Power Exchange Center Files Patent for "Power Trading Method and System for Integrated Energy Services," Boosting Trading Efficiency

On February 13, 2025, the State Intellectual Property Office of China revealed that Zhejiang Power Exchange Center Co., Ltd. filed a patent application for a "Power Trading Method and System for Integrated Energy Services," with publication number CN119398810A and an application date of June 2024. This invention aims to significantly enhance the flexibility and efficiency of power trading through innovative technological means, injecting new vitality into the energy market.

This patent falls under the field of power data trading technology, focusing on a novel power trading method and system for integrated energy services. Its core lies in the in-depth analysis and intelligent prediction of electricity consumption data to achieve more accurate and efficient energy trading. The patent abstract provides a clear framework for understanding its technological innovations.

First, the method requires acquiring electricity consumption data. This includes, but is not limited to, user-end electricity consumption, usage time, and equipment information. Data integrity and accuracy are crucial for the successful execution of subsequent steps. This data forms the basis for constructing consumer behavior pattern profiles.

Second, the system performs in-depth analysis of the collected electricity consumption data to build consumer behavior pattern profiles. This is not a simple statistical analysis, but utilizes advanced data mining and machine learning techniques to identify patterns and regularities in user electricity consumption behavior, such as peak and off-peak consumption periods and consumption differences across different seasons. This consumer energy usage behavior pattern profile forms the basis for subsequent prediction and trading.

Based on the consumer energy usage behavior pattern profile, the system can predict comprehensive energy demand using standardized electricity consumption data. This includes not only electricity demand prediction, but also potentially other energy forms, such as natural gas and thermal energy, enabling overall comprehensive energy demand prediction. This prediction result generates consumer comprehensive energy demand prediction data, providing key information for subsequent energy trading.

Finally, based on the consumer comprehensive energy demand prediction data, the system constructs a blockchain-based energy trading platform and generates blockchain energy trading contracts. The application of blockchain technology ensures the transparency, security, and traceability of transactions, further improving the efficiency and reliability of power trading.

Beyond these core steps, the patent also highlights several other important aspects, such as personalized energy demand prediction, electricity type analysis, volatility response strategies, automated trading monitoring, and data visualization. Personalized energy demand prediction provides more accurate energy predictions and trading schemes tailored to individual user characteristics. Electricity type analysis helps optimize energy allocation and improve energy efficiency. Volatility response strategies effectively address fluctuations in electricity supply and demand, ensuring stable operation of the power system. Automated trading monitoring allows real-time monitoring of the trading process to ensure smooth transactions. Data visualization intuitively presents trading data and analysis results for user understanding and usage.

The integrated application of these technologies effectively enhances the flexibility and efficiency of power trading. Through accurate prediction, transparent trading, and efficient management, this system is expected to address many issues in traditional power trading, such as supply-demand mismatches, low trading efficiency, and information asymmetry.

Zhejiang Power Exchange Center Co., Ltd., established in 2016 with a registered capital of RMB 270,985,047.78, is located in Hangzhou. The company primarily engages in capital market services. Tianyancha (a Chinese business information platform) shows that the company has participated in 38 bidding projects, holds 5 trademarks, and possesses 88 patents and 7 administrative licenses. This information demonstrates the company's extensive experience and strong technical capabilities in the power trading field. This patent application marks another significant milestone in the company's technological innovation journey, showcasing its keen insight and proactive layout in the future energy market.

The successful application of this patent is not only significant for Zhejiang Power Exchange Center Co., Ltd., but also has a positive driving effect on the entire power trading industry. It will help promote the development of power trading towards greater intelligence, efficiency, and marketization, contributing to the construction of a clean, low-carbon, and safe energy system. In the future, with the further maturation and application of this technology, we can expect a broader impact, providing strong support for the digital transformation and sustainable development of the energy industry. The innovation lies in its integration of multiple advanced technologies, such as big data analysis, machine learning, and blockchain technology, reflecting the trend of technology empowering the energy industry. It not only improves the efficiency of power trading but also provides new possibilities for broader energy services, such as providing technical support for the integration and trading of new energy sources, and promoting optimized energy allocation and utilization. The application of this technology is expected to contribute to the construction of a more intelligent, efficient, and clean energy system.