Research On Prediction Of Electricity Consumption In Smart Parks Based On Multiple Linear Regression
Zhiyang Zhao, Yue Peng, Xianxun Zhu, Xiong Wei, Xu Wang, Jiancun Zuo
Abstract
With the construction of cities and the development of smart parks, the energy efficiency improvement and the low-carbon operation realization have been developed by the people-oriented smart parks as a recent stage strategy based on the park informatization. The multiple linear regression method is adopted in this paper for the establishment of time -power consumption relationship model. The power consumption in the park can be predicted finally with the accuracy rate of 0.826. This model can serve for managers and decision makers further with strong data support.
Topics & Concepts
InformatizationConsumption (sociology)Linear regressionSmart gridRealization (probability)Regression analysisElectricityComputer sciencePower consumptionEnergy consumptionEnvironmental economicsPower (physics)Operations researchEngineeringMachine learningStatisticsTelecommunicationsEconomicsMathematicsElectrical engineeringPhysicsQuantum mechanicsSocial scienceSociologyAdvanced Algorithms and ApplicationsAdvanced Sensor and Control SystemsPower Systems and Renewable Energy