Journal Pre-proof A Statistical Learning Approach to Determine Optimal Sizing and Investment Timing of Commercial-Scale Distributed Energy Resources Seyedala Seifafjei, Khashayar Mahani, Mohsen A. Jafari, Farbod Farzan, Farnaz Farzan PII: S2210-6707(20)30813-1 DOI: https://doi.org/10.1016/j.scs.2020.102596 Reference: SCS 102596 To appear in: Sustainable Cities and Society Received Date: 24 March 2019 Revised Date: 18 October 2020 Accepted Date: 4 November 2020 Please cite this article as: Seifafjei S, Mahani K, Jafari MA, Farzan F, Farzan F, A Statistical Learning Approach to Determine Optimal Sizing and Investment Timing of Commercial-Scale Distributed Energy Resources, Sustainable Cities and Society (2020), doi: https://doi.org/10.1016/j.scs.2020.102596 This is a PDF ﬁle of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the deﬁnitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its ﬁnal form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier.