Industrial enterprise energy efficiency service recommendation method and system based on cloud

Abstract

The invention discloses an industrial enterprise energy efficiency service recommendation method and system based on the cloud and relates to the technical field of electric power. The technical problems that industrial electricity service strategies cannot be subjected to differentiation electricity strategy recommendation according to actual situations of different enterprises can be solved. Theindustrial enterprise energy efficiency service recommendation method comprises the following steps that S101, electricity information real-time collecting is conducted on electricity equipment of different users; S102, collected electricity information data generate electricity data sequences to be subjected to distributing-type data storage; S103, through cloud data processing, historic electricity of the users is subjected to trend analysis to predict electricity situations of the users, and the final electricity strategies are generated aiming at factors influencing the electricity level;and S104, through man-machine interaction, the final electricity strategies are recommended to the users. Differentiation electricity strategy recommendation can be conducted according to the actualsituations of the different users, the user acceptance degree is increased to the largest extent to lower the cost, electric power demand side management is improved, electric power resources are configured reasonably, energy is saved, and energy consumption is lowered.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a cloud-based energy efficiency service recommendation method and system for industrial enterprises. Background technique [0002] In order to ensure the sustainable development of my country's energy environment, meet the electricity demand of the economy and society, and transform the mode of economic development, it is urgent to build a smart grid. With the vigorous development of my country's smart grid, the requirements for grid reliability and energy utilization are getting higher and higher. Smart power consumption is an important part of the smart grid. Its core feature is the flexible two-way interaction between the power grid and users. Demand response, as one of the most important realization methods in the interaction of energy consumption, guides users to change power consumption through price or incentives. Loads can participate in power grid peak regulat...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the existing technology, the present invention provides a cloud-based energy efficiency service recommendation system for industrial enterprises, which can solve the technical problem that the prior art electricity service cannot recommend differentiated electricity consumption strategies according to the actual conditions of different enterprises

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