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Accurate short-time load forecasting is vital for power system planning, scheduling, and operating. Therefore, a new hourly load forecasting model is designed basing on BP Neural Network in the literature, which takes consideration of the load information of previous hour and a variety of real-time meteorological factors including temperature, humidity, wind speed, air pressure and visibility. Based...
In order to realize the real-time collection of network information, to achieve energy saving and fault monitoring, it puts forward a method of monitoring the power consumption information based on the network data analysis. The method can use SNMP and MIB to collect the power information of the power equipment in different networks, including the CPU occupancy rate, physical and virtual memory usage...
User interaction is an important part of the smart gridconstruction. In order to allow power consumers to have a better understanding of their own household electricity, it is necessary to provide them with real-time electricity information. On the basis of intensive study of the electricity information acquisition system, this paper puts forward a construction scheme of power information visualization...
In this paper, we present a household load priority scheduling model based on real-time electricity price, the optimization objective is to satisfy user's comfort demand and reduce the electricity cost. The constraints are electric power company's response to electrical and the working time of household appliances that user expect. The model divides all appliances into three categories: important...
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