Announcement from CITIC Heavy Industry: Jointly exploring new paths for energy transformation with technology enterprises

[Global Network Technology Comprehensive Report] On June 8, it was reported that recently, CITIC Heavy Industry issued a notice on the establishment of Heavy Industry Daika (Luoyang) New Energy Development Co., Ltd

[Global Network Technology Comprehensive Report] On June 8, it was reported that recently, CITIC Heavy Industry issued a notice on the establishment of Heavy Industry Daika (Luoyang) New Energy Development Co., Ltd. and Related party transaction, referring to the joint venture establishment of Heavy Industry Daika (Luoyang) New Energy Development Co., Ltd. (hereinafter referred to as the "joint venture") with CITIC Daika Co., Ltd., TSL and CSI Huijin.

It is understood that the joint venture will carry out new energy businesses in wind power, photovoltaic, energy storage, hydrogen energy, Smart grid, source grid load storage and other fields, drive the sales of core equipment, and achieve high-quality development.

As one of the shareholders in the joint venture company, TESLA focuses on urban intelligence strategy with AIoT (Artificial intelligence of things) and carbon neutrality as the two wheel engine, and enables urban sustainable development through intelligent Internet of Things technology and end-to-end integrated services. In addition, Tesla Union has currently developed a scenario that focuses on the advantages of zero carbon parks, forming a core plan for smart energy management, and exploring the extension of business at both ends of photovoltaic/energy storage+carbon management.

Specifically, the smart energy solution created by Tesla Union aims to build smart energy, provide green power guarantee, coordinate "source, network, load and storage", save energy and reduce consumption, give full play to the technological advantages of the Internet of Things, Big data, AI, etc., conduct real-time monitoring of energy production, transmission and distribution, energy storage and use, and achieve efficient energy supply and refined management of the whole process through system optimization and digital intelligence efficiency improvement.

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