The minimum cost energy flow problem under demand uncertainty. Effect on optimal solution, variability, worst and best case scenarios

Nikolaos Poulios, Maria Livada, Evangelos Melas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

Original language	English
Title of host publication	Optimization, Discrete Mathematics and Applications to Data Sciences
Publisher	Springer
Pages	211-221
Edition	1
ISBN (Electronic)	978-3-031-78369-2
ISBN (Print)	978-3-031-78368-5
Publication status	Published - 29 Oct 2024

Cite this

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title = "The minimum cost energy flow problem under demand uncertainty. Effect on optimal solution, variability, worst and best case scenarios",

author = "Nikolaos Poulios and Maria Livada and Evangelos Melas",

year = "2024",

month = oct,

day = "29",

language = "English",

isbn = "978-3-031-78368-5",

pages = "211--221",

booktitle = "Optimization, Discrete Mathematics and Applications to Data Sciences",

publisher = "Springer",

edition = "1",

}

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

TY - CHAP

T1 - The minimum cost energy flow problem under demand uncertainty. Effect on optimal solution, variability, worst and best case scenarios

AU - Poulios, Nikolaos

AU - Livada, Maria

AU - Melas, Evangelos

PY - 2024/10/29

Y1 - 2024/10/29

M3 - Chapter

SN - 978-3-031-78368-5

SP - 211

EP - 221

BT - Optimization, Discrete Mathematics and Applications to Data Sciences

PB - Springer

ER -