Research on Characteristics of Electricity Load and Interactive Regulation Strategies in Software and Information Technology Service Industry
Address the issue of inadequate exploration of load characteristics and user electricity behavior in the software and information technology service industry,this study proposes a user load characteristic analysis method based on a hybrid clustering algorithm and an interactive adjustment strategy based on time-of-use price.Firstly,this paper analyzes the main electrical devices in the software and IT service industry,and proposes adjustable potential evaluation indicators.Then,silhouette coefficients are used to assess the performance of different cluster numbers,determining the optimal cluster number K,and the hybrid clustering algorithm is employed to cluster the dataset and analyze the clustering results.Finally,a load model for industry users is constructed,and an interactive adjustment strategy based on TOU price is proposed.Taking the electricity consumption information of software and information technology service industry users in a northern city in China as an example for simulation calculation,the results show that both the first and third types of users have the adjustment ability.
software and information technology service industryhybrid clustering algorithmload characteristicsadjustable potentialtime-of-use priceinteractive adjustment
万方数据
维普
