Heuristic decision-making in the green energy context: Bringing together simple rules and data-driven mathematical optimization

Robert Breitenecker; Andreas Krawinkler; Daniela Maresch

doi:10.1016/j.techfore.2022.121695

Heuristic decision-making in the green energy context: Bringing together simple rules and data-driven mathematical optimization

Robert Breitenecker
, Andreas Krawinkler
, Daniela Maresch

Institute of Innovation Management

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

Original language	English
Article number	121695
Number of pages	10
Journal	Technological Forecasting and Social Change
Volume	180
DOIs	https://doi.org/10.1016/j.techfore.2022.121695
Publication status	Published - Jul 2022

Fields of science

502 Economics
502015 Innovation management

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

UN SDGs

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

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10.1016/j.techfore.2022.121695

Cite this

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title = "Heuristic decision-making in the green energy context: Bringing together simple rules and data-driven mathematical optimization",

author = "Robert Breitenecker and Andreas Krawinkler and Daniela Maresch",

year = "2022",

month = jul,

doi = "10.1016/j.techfore.2022.121695",

language = "English",

volume = "180",

journal = "Technological Forecasting and Social Change",

issn = "0040-1625",

publisher = "North-Holland",

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TY - JOUR

T1 - Heuristic decision-making in the green energy context: Bringing together simple rules and data-driven mathematical optimization

AU - Breitenecker, Robert

AU - Krawinkler, Andreas

AU - Maresch, Daniela

PY - 2022/7

Y1 - 2022/7

UR - https://www.scopus.com/pages/publications/85128922341

U2 - 10.1016/j.techfore.2022.121695

DO - 10.1016/j.techfore.2022.121695

M3 - Article

SN - 0040-1625

VL - 180

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

M1 - 121695

ER -

Heuristic decision-making in the green energy context: Bringing together simple rules and data-driven mathematical optimization

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this