A Business Service Model of Smart Home Appliances Participating in the Peak Shaving and Valley Filling Based on Cloud Platform

Abstract

Mingrui ZHU †a) , Student Member, Yangjian JI †b) , Wenjun JU † †c) , Xinjian GU †d) , Chao LIU † †e) , and Zhifang XU † †f) , Nonmembers SUMMARY With the development of power market demand response capability, load aggregators play a more important role in the coordination between power grid and users. They have a wealth of user side business data resources related to user demand, load management and equipment operation. By building a business model of business data resource utilization and innovating the content and mode of intelligent power service, it can guide the friendly interaction between power supply, power grid and load, effectively improve the flexibility of power grid regulation, speed up demand response and refine load management. In view of the current situation of insufficient utilization of business resources, low user participation and imperfect business model, this paper analyzes the process of home appliance enterprises participating in peak shaving and valley filling (PSVF) as load aggregators, and expounds the relationship between the participants in the power market; a business service model of smart home appliance participating in PSVF based on cloud platform is put forward; the market value created by home appliance business resources for each participant under the joint action of market-oriented means, information technology and power consumption technology is discussed, and typical business scenarios are listed; taking Haier business resource analysis as an example, the feasibility of the proposed business model in innovating the content and value realization of intelligent power consumption services is proved.

Carbon emission monitoring model of digital power grid user side based on cloud platform

“…In order to solve the problem of constraint lag when using autoregressive conditional heteroscedasticity to determine model parameters, and improve the comprehensive monitoring effect of the model [10] , this paper obtains the monitoring data of power grid user side carbon emissions based on the cloud platform. The created unified user side power carbon emission monitoring platform uses the integrated business model to obtain monitoring data [11] , and the monitoring points are deployed through integrated energy use such as water, electricity, etc. At this time, the generated user side carbon emission monitoring data integrated cloud platform is shown in Figure 1 below.…”

Network evolution of diffusion in enterprise digitalization and intellectualization transformation: A technology—organization—environment framework perspective

“…It combines digital technologies such as blockchain, internet of things, and cloud computing with intelligent technologies such as artificial intelligence (AI) to improve operational efficiency. For instance, Haier established the Khaos industrial Internet platform after promoting DI, which has enabled users’ full process participation, reduced inventory, improved efficiency, and facilitated the development of multiple subjects collaboratively [ 2 ]. Therefore, it can be inferred that DI, as the next phase of digitalization transformation, may emerge as a prominent trend.…”