Volume & Issue: Volume 26, Special Issue on machine learning, data analytics, and advanced optimization techniques in modern power systems [Transactions on Computer Science & Engineering and Electrical Engineering(D)], Transactions on Computer Science & Engineering and Electrical Engineering (D), November and December 2019, Pages 3469-3693 
4. Joint distribution adaptation via feature and model matching

Pages 3515-3539

Mehri Mardani; Jafar Tahmoresnezhad


5. RUbIn: A framework for reliable and ubiquitous inference in WSNs

Pages 3540-3555

Abolhassan Shamsaie; Jafar Habibi; Erfan Abdi; Fatemeh Ghassemi


8. Risk-based cooperative scheduling of demand response and electric vehicle aggregators

Pages 3571-3581

Parinaz Aliasgahri; Behnam Mohammadi-Ivatloo; Mehdi Abapour


16. Distribution power system outage diagnosis based on root cause analysis(Invited Paper)

Pages 3672-3680

Mohammad Sadegh Bashkari; Ashkan Sami; Mohammad Rastegar; Mohammad Javad Bordbari


Journal Archive

Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Chemistry and Chemical Engineering (C) Transactions on Computer Science & Engineering and Electrical Engineering (D) Transactions on Industrial Engineering (E) Transactions on Nanotechnology (F) Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Industrial Engineering (E) Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Industrial Engineering (E) Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Chemistry and Chemical Engineering (C) Transactions on Computer Science & Engineering and Electrical Engineering (D) Transactions on Industrial Engineering (E) Transactions on Nanotechnology (F) Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Industrial Engineering (E) Transactions on Civil Engineering (A) Transactions on Mechanical Engineering (B) Transactions on Industrial Engineering (E)