Predictive Analytics for Enterprise Innovation of Retail Energy Market Modeling of Integrated Demand Response and Energy Hubs

Many combined heat and power (CHP) energy hubs work within the following load mode in wintertime to supply request for heat, renewable has been often restricted unified network (UEN) markets. The Internet of Things (PIoTs) enabled UEN transmit data increasingly frequently. As a result flexible connections among various networks, increases its accommodation capacity considerably. Thus, purpose study is optimize backdrop PIoTs. According impact PIoTs on UEN, this paper develops demand response (DR) process layout important parts UEN. Afterward, bi-level economic dispatching based cyber-physical systems In process, higher level optimizes total function; lower demand-side equipment output DR. Then, gray wolf optimization scheme used solve dispatch. Lastly, standard practical have verify efficiency suggested process.