Reinforcement learning approaches to power system scheduling (Thesis) Jasmin E.A; guided by Jagathy Raj V.P.

By:

Contributor(s):

Publication details: Kochi School of engineering, CUSAT 2008 Description: xii, 235pSubject(s):

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Theses	University Library Reference	621.311 JAS T (Browse shelf(Opens below))	Not for loan		T0000441

Previous		No cover image available	No cover image available	No cover image available		No cover image available	No cover image available	Next
Previous	621.3:006.88 ALO R Electrical codes, standards, recommended practices and regulations	621.3.049.77 JOB T Fabrication of microwave substrates and formulation of dielectric inks for microelectronic applications	621.31 LAT T Short term generation scheduling in stressed power systems considering grid energy storage	621.311 JAS T Reinforcement learning approaches to power system scheduling (Thesis)	621.311(035) HIC R Handbook of energy engineering calculations	621.311.24 T VIN Optimized operation of distributed renewable energy sources in smart grid	621.311.243 ANG T On the improvement of window and absorber layer properties of sprayed CuInS2/In2S3 thin film solar cells using doping and multilayer structures	Next

Thesis

There are no comments on this title.

to post a comment.