Modelling integrated multi-vector energy systems capturing spatial dependencies and hourly operation over a long-term planning horizon.

Sheila Samsatli

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Original language	English
Title of host publication	Proceedings of the WholeSEM Annual Conference, 2016
Publication status	Published - 4 Jul 2016
Event	WholeSEM Annual Conference, 2016 - Cambridge, UK United Kingdom Duration: 4 Jul 2016 → 5 Jul 2016

Cite this

@inproceedings{946844df86514fa3936c153357f85c66,

title = "Modelling integrated multi-vector energy systems capturing spatial dependencies and hourly operation over a long-term planning horizon.",

author = "Sheila Samsatli",

year = "2016",

month = jul,

day = "4",

language = "English",

booktitle = "Proceedings of the WholeSEM Annual Conference, 2016",

note = "WholeSEM Annual Conference, 2016 ; Conference date: 04-07-2016 Through 05-07-2016",

}

TY - GEN

T1 - Modelling integrated multi-vector energy systems capturing spatial dependencies and hourly operation over a long-term planning horizon.

AU - Samsatli, Sheila

PY - 2016/7/4

Y1 - 2016/7/4

M3 - Chapter in a published conference proceeding

BT - Proceedings of the WholeSEM Annual Conference, 2016

T2 - WholeSEM Annual Conference, 2016

Y2 - 4 July 2016 through 5 July 2016

ER -