dc.contributor.advisor |
Pindoriya, Naran M. |
|
dc.contributor.author |
Rajasekhar, Batchu |
|
dc.date.accessioned |
2020-12-03T09:25:56Z |
|
dc.date.available |
2020-12-03T09:25:56Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Rajasekhar, Batchu (2020). Distributed demand response in smart grid: a game-theoretic and machine learning approach. Gandhinagar: Indian Institute of Technology Gandhinagar, 148p. (Acc. No.: T00534). |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/5940 |
|
dc.description.statementofresponsibility |
by Batchu Rajasekhar |
|
dc.format.extent |
xviii, 148p. : ill. ; 30 cm |
|
dc.language.iso |
en_US |
|
dc.publisher |
Indian Institute of Technology Gandhinagar |
|
dc.subject |
13310018 |
|
dc.subject |
Electrical Engineering |
|
dc.subject |
Energy Storage |
|
dc.subject |
Microgrid Level Aggregator |
|
dc.subject |
Distributed Energy Resources |
|
dc.subject |
Artificial Neural Network |
|
dc.subject |
Support Vector Regression |
|
dc.title |
Distributed demand response in smart grid: a game-theoretic and machine learning approach |
|
dc.type |
Thesis |
|
dc.contributor.department |
Electrical Engineering |
|
dc.description.degree |
Ph.D. |
|