NaaS Technology, Inc. Sponsored ADR (NAAS.US) CEO Wang Yang: Focusing on self-driving car technology, AI algorithms help accurately match traffic energy supply and demand.

On September 13th, at the 2024 China Service Corporation International Trade Fair (referred to as SERV) in China, the "UAE-Beijing Economic Forum" was co-hosted by the UAE Embassy in China, Beijing Council for the Promotion of International Trade, and Chaoyang District Government. Founder and CEO of NaaS Technology, Inc. Sponsored ADR (NAAS.US), Wang Yang attended and delivered a speech. She stated that China's 3 trillion yuan transportation energy consumption market is accelerating its shift from oil to electricity, with fuel vehicle ownership expected to peak by 2025 and the number of electric vehicles surpassing fuel vehicles by 2035, with the two overlapping. This is the most certain opportunity in the next ten years. Currently, China is the world's largest country in terms of automobile ownership, as well as the largest in automobile sales, with automobile export volume just recently surpassing the global rankings. In 2023, the total retail sales of consumer goods in China exceeded 47 trillion yuan, and the transportation energy consumption market, which includes refueling and charging, is an easily overlooked hidden giant, second only to automobiles in terms of volume, exceeding categories such as catering, clothing, electronics, etc. Transitioning from fuel vehicles to electric vehicles, the new energy transformation of transportation energy is irreversible, reducing the external dependence on energy consumption on one hand, and with transport carbon emissions in China exceeding 10%, this proportion is expected to continue growing. Green development is an inevitable trend. Wang Yang stated that the traditional energy industry in China, especially the digitalization level of gas stations, is low and the efficiency of the entire industry chain is not high. In 2016, Nenglian entered the energy digital field, starting with services such as city distribution of logistics vehicles and supply services for commercial vehicles such as taxis, accumulating over 400 million registered users by the end of 2023, with over 100 million trading users and an annual order volume exceeding 500 million transactions. Nenglian has pre-installed refueling and charging services in the onboard systems of 80% of domestic OEMs such as BYD Company Limited, GAC, FAW-Volkswagen, Chang'an, Expression, Great Wall, Hyundai, Geely, Extreme, Nezha, Zhiji, etc., creating a nationwide integrated digital network of oil and electricity. Currently, the monthly new car sales penetration rate of electric vehicles in China has exceeded 50%, but the overall inventory percentage has just crossed the 7% mark, and compared to fuel vehicles, the pressure of future matching of supply and demand in transportation energy will become increasingly greater. In the first half of this year, the proportion of charging from electric vehicles in the total national electricity consumption for the first time exceeded 1.1%, posing a certain impact on the power grid. Considering the instability of upstream new energy generation from sources such as photovoltaics and wind energy, as well as the distribution characteristics of storage charging, micro-grid configuration, vehicle-grid interaction, etc., how to use AI algorithms to guide the matching of the entire energy system has become a topic of global attention. "Since 2016, focusing on the matching of transportation energy supply and demand, efficiency improvement, and the smartization of energy supply experiences, Nenglian has conducted a large amount of AI algorithm research and development. Last year, NaaS Technology, Inc. Sponsored ADR launched the NEF (NAAS Energy Fintech) system, which, based on artificial intelligence algorithms, achieved a comprehensive intelligent approach in selecting charging station locations, revenue evaluation, operational scheduling, and maintenance." In terms of the value brought by AI, Wang Yang also gave some more vivid examples, such as which scenarios and locations are suitable for building charging stations, intelligent matching between vehicles and charging stations or gas stations, whether charging stations are suitable for integrated energy storage devices, formulation of operational strategies for light storage charging, etc., where the answers are provided by AI algorithms. Looking further ahead, with the advent of the era of autonomous driving, the evolution of charging infrastructure will move towards the phase of Auto Power smart replenishment. Wang Yang revealed that Nenglian will continue to focus on energy supply for autonomous driving, expand the cooperation ecosystem in the new energy industry, and embed refueling and charging services into the central screens of smart cars, allowing owners to automatically and intelligently match with gas stations and charging stations, truly achieving higher efficiency and lower delivery costs.