Battery sizing for different loads and res production scenarios through unsupervised clustering methods

HIGHLIGHTS

  • who: Alfredo Nespoli and colleagues from the (UNIVERSITY) have published the research work: Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods, in the Journal: Forecasting 2021, 3, 663-681. of /2021/
  • what: This paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. Considering the purpose of the current preliminary analysis, all those factors can be neglected: they would be estimated equally for all the considered battery models and therefore they would not have any influence . . .

     

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