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020 ▼a 9780438135833
035 ▼a (MiAaPQ)AAI10903758
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 620
1001 ▼a Srikrishnan, Vivek.
24510 ▼a Markov-Switching Models for Probabilistic Solar Resource Assessment and Forecasting.
260 ▼a [S.l.] : ▼b The Pennsylvania State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 151 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
5021 ▼a Thesis (Ph.D.)--The Pennsylvania State University, 2018.
520 ▼a This work proposes and analyzes a Markov-switching autoregression model structure for joint probabilistic modeling of the beam and global components of solar irradiance, which are important to simulate the performance of a variety of solar energ
590 ▼a School code: 0176.
650 4 ▼a Engineering.
650 4 ▼a Statistics.
690 ▼a 0537
690 ▼a 0463
71020 ▼a The Pennsylvania State University. ▼b Energy and Mineral Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0176
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000723 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자