An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability

Research output: Contribution to journal › Article › peer-review

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{3e233de1a0c2456189b5cee0b15745ff,

title = "An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability",

author = "PR Srivastava and SK Mangla and P Eachempati and AK Tiwari",

year = "2023",

month = sep,

doi = "10.1016/j.eneco.2023.106868",

language = "English",

volume = "125",

pages = "106868--106868",

journal = "Energy Economics",

issn = "0140-9883",

publisher = "Elsevier B.V.",

number = "0",

}

TY - JOUR

T1 - An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability

AU - Srivastava, PR

AU - Mangla, SK

AU - Eachempati, P

AU - Tiwari, AK

PY - 2023/9

Y1 - 2023/9

U2 - 10.1016/j.eneco.2023.106868

DO - 10.1016/j.eneco.2023.106868

M3 - Article

SN - 0140-9883

VL - 125

SP - 106868

EP - 106868

JO - Energy Economics

JF - Energy Economics

IS - 0

ER -