LDR | | 00000nmm u2200205 4500 |
001 | | 000000330351 |
005 | | 20241029142620 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438343221 |
035 | |
▼a (MiAaPQ)AAI10843746 |
035 | |
▼a (MiAaPQ)cornellgrad:10967 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 621.3 |
100 | 1 |
▼a Baltaoglu, Mukadder Sevi.
▼0 (orcid)0000-0001-8769-8699 |
245 | 10 |
▼a Online Learning and Its Applications in Electricity Markets. |
260 | |
▼a [S.l.] :
▼b Cornell University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 127 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
500 | |
▼a Adviser: Lang Tong. |
502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2018. |
520 | |
▼a Online learning is the process of learning to make accurate predictions and optimize actions sequentially in each period based on the information gained through the previous decisions and observations. In many real-world problems, the underlying |
520 | |
▼a We first study the problem of online learning and optimization of unknown Markov jump affine models which is motivated by the dynamic pricing problem of an electricity retailer. An online learning policy, referred to as Markovian simultaneous pe |
520 | |
▼a Motivated by virtual trading in two-settlement wholesale electricity markets, the second problem we consider is the online learning problem of optimal bidding strategy in repeated multi-commodity auctions. A polynomial-time online learning algor |
590 | |
▼a School code: 0058. |
650 | 4 |
▼a Electrical engineering. |
650 | 4 |
▼a Artificial intelligence. |
690 | |
▼a 0544 |
690 | |
▼a 0800 |
710 | 20 |
▼a Cornell University.
▼b Electrical & Computer Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0058 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999943
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |