A Patent Granted for a Blockchain-Based Power Prediction Result Evaluation Method: Enhancing Data Transparency and Fairness in the Wind Power Industry

A Patent Granted for a Blockchain-Based Power Prediction Result Evaluation Method: Enhancing Data Transparency and Fairness in the Wind Power IndustryThe State Intellectual Property Office of China announced that Guangxi Jinzishan Wind Power Co., Ltd

A Patent Granted for a Blockchain-Based Power Prediction Result Evaluation Method: Enhancing Data Transparency and Fairness in the Wind Power Industry

The State Intellectual Property Office of China announced that Guangxi Jinzishan Wind Power Co., Ltd. of State Power Investment Group and Zhongneng Fusion Wisdom Technology Co., Ltd. jointly filed a patent application in September 2024 for a Blockchain-Based Power Prediction Result Evaluation Method, Device, and Equipment, with publication number CN119358814A. The approval of this patent application marks a significant step forward in data security, transparency, and fairness within the wind power industry, providing new technical means to improve the accuracy and reliability of wind farm power prediction.

The core of this patent application lies in a proposed blockchain-based power prediction result evaluation method. Traditional methods often suffer from insufficient data security and transparency, being susceptible to manipulation and compromising the fairness and objectivity of the evaluation results. This patent cleverly leverages blockchain technology to effectively address these shortcomings.

The patent abstract details the specific process: First, the system acquires encrypted power prediction result information and first authentication information reported by at least one participating evaluator. This step ensures data security, preventing tampering or leakage during transmission. Subsequently, the system decrypts the encrypted power prediction result information to obtain the original data. To further ensure authenticity and reliability, the system authenticates the power prediction result information based on the first authentication information, filtering out invalid data.

Next, the system performs a comparative evaluation of the valid power prediction result information, ultimately obtaining the evaluation result data. This data is not determined by a single institution or individual but is obtained through multi-party participation and joint verification, effectively preventing manipulation. Finally, the system sends the evaluation result data to each participating evaluator and, based on feedback from each participant, the first authentication information, and the power prediction result information, performs a review of the evaluation result data, forming a closed-loop evaluation system to ensure accuracy and fairness.

The advantages of this blockchain-based power prediction result evaluation method include:

• Enhanced Data Security: Utilizing blockchain's encryption technology and distributed storage characteristics effectively protects the security of power prediction result information, preventing data leakage and tampering.

• Improved Transparency: All participants can view the complete evaluation process and results on the blockchain, increasing transparency and mitigating risks associated with information asymmetry.

• Guaranteed Fairness: Multi-party participation and joint verification prevent manipulation by single institutions or individuals, ensuring the fairness and objectivity of the evaluation results.

• Increased Efficiency: Blockchain technology can automate many steps in the evaluation process, improving efficiency and reducing labor costs.

• Enhanced Traceability: The immutability of blockchain technology ensures complete traceability of the entire evaluation process, facilitating subsequent audits and supervision.

The application of this patented technology will have a profound impact on the wind power industry. First, it can significantly improve the accuracy and reliability of wind power prediction, thereby increasing wind farm power generation efficiency and economic benefits. Second, it can enhance data security and transparency, improving the overall creditworthiness and public trust of the industry. Finally, it can provide government regulators with more effective supervision methods, promoting the healthy development of the wind power industry.

Guangxi Jinzishan Wind Power Co., Ltd., a company with extensive experience in the power industry, participated in this patent application, demonstrating its commitment to technological innovation and industry development. According to Tianyancha data, the company was established in 2010, with a registered capital of RMB 109,833.2295 million and a paid-in capital of RMB 106,894 million. Operating in Guilin City, it mainly engages in the production and supply of electricity and heat. The company has invested in two other enterprises, participated in 230 bidding projects, holds 35 patents, and possesses 25 administrative licenses, showcasing its strong capabilities and proactive spirit. Its active participation in technological innovation and collaboration with Zhongneng Fusion Wisdom Technology Co., Ltd. on this patent application is commendable and contributes to the technological advancement of the wind power industry.

Zhongneng Fusion Wisdom Technology Co., Ltd., the other applicant, played a crucial role in the patent application with its expertise. The company possesses a professional background in the integration of blockchain technology and energy, providing technical support for the research and application of this patented technology. Through its collaboration with Guangxi Jinzishan Wind Power Co., Ltd., both companies have jointly promoted the innovation and implementation of this technology.

In conclusion, the approval of the Blockchain-Based Power Prediction Result Evaluation Method, Device, and Equipment patent application is not only a recognition of the technical strength of Guangxi Jinzishan Wind Power Co., Ltd. and Zhongneng Fusion Wisdom Technology Co., Ltd., but also a significant contribution to the technological advancement of the wind power industry. This technology is expected to be widely used in wind farm power prediction evaluation, enhancing data transparency and fairness, promoting sustainable development, and providing a benchmark for other energy sectors. With ongoing refinement and application, it will play an even greater role in driving the digital transformation and intelligent upgrading of the energy industry. This is not only a significant contribution to the wind power industry but also to the entire energy sector, promising more reliable and transparent data management and security in the future.