Elinergy

Elinergy focuses on applying AI technology and big data analytics to energy investment, specializing in the integration of domain models and scenario systems. The self-developed algorithms aim to address challenges faced by the rapidly growing commercial and industrial energy storage sector, including scarce project resources, complex data analysis, numerous changing parameters, long business chains, low efficiency, slow response times, shortage of professionals, and high labor costs. The self-developed algorithm, ELINERGY.OS, covers pre-investment processes such as automatic recognition and cleaning of electricity bills and load data, calculation of storage capacity for commercial and industrial energy, financial return estimation within selected boundaries, and automated generation of investment proposal plans. It significantly reduces the response time for complex processes to a "minute-level" full-process generation. Additionally, it enhances project exit and management capabilities through strategy analysis, financial and operational data, payment settlement, and other features, providing end-to-end lifecycle management for energy storage assets.