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Identifying weak signals to prepare for uncertainty in the energy sector

This study aims to prepare the energy sector for uncertainty using a foresight tool known as weak signals. Weak signals (subtle signs of emerging issues with significant impact potential) are often overlooked during strategic planning due to their inherent predictive uncertainty. However, the value...

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Detalles Bibliográficos
Autores principales: Gilmore, Nicholas, Koskinen, Ilpo, Burr, Patrick, Obbard, Edward, Sproul, Alistair, Konstantinou, Georgios, Bilbao, Jose, Daiyan, Rahman, Kay, Merlinde, Corkish, Richard, Macgill, Iain, Lovell, Emma, Menictas, Chris, Bruce, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618798/
https://www.ncbi.nlm.nih.gov/pubmed/37920500
http://dx.doi.org/10.1016/j.heliyon.2023.e21295
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author Gilmore, Nicholas
Koskinen, Ilpo
Burr, Patrick
Obbard, Edward
Sproul, Alistair
Konstantinou, Georgios
Bilbao, Jose
Daiyan, Rahman
Kay, Merlinde
Corkish, Richard
Macgill, Iain
Lovell, Emma
Menictas, Chris
Bruce, Anna
author_facet Gilmore, Nicholas
Koskinen, Ilpo
Burr, Patrick
Obbard, Edward
Sproul, Alistair
Konstantinou, Georgios
Bilbao, Jose
Daiyan, Rahman
Kay, Merlinde
Corkish, Richard
Macgill, Iain
Lovell, Emma
Menictas, Chris
Bruce, Anna
author_sort Gilmore, Nicholas
collection PubMed
description This study aims to prepare the energy sector for uncertainty using a foresight tool known as weak signals. Weak signals (subtle signs of emerging issues with significant impact potential) are often overlooked during strategic planning due to their inherent predictive uncertainty. However, the value does not lie in precise forecasting but in broadening the consideration of future possibilities. By proactively monitoring and addressing these otherwise neglected developments, stakeholders can gain early awareness of threats and opportunities and enhance their resilience, adaptability, and innovation. A panel of technology experts identified eight weak signals in this study: 1) growing mistrust and local grid security measures, 2) consumer reactions to overly prescriptive policies, 3) long-term forecasting errors for thin-margin projects, 4) emergence of variable power industries, and 5) establishment of intercontinental transmission precedence; including three potential ‘wild cards’ requiring proactive mitigation: 6) escalating electrical generation dependence on continued imports, 7) a new threat surpassing climate change, and 8) mass deployment of low-emissions technology triggering a runaway loss of social license. Political factors were the predominant source of uncertainty, as decisions can suddenly transform the energy landscape. Economic, technological, and social factors followed closely behind, generally through the emergence of new industries and behavioural responses. While environmental and legal factors were less frequent, stakeholders should still adopt a holistic approach, as the signals were found to be highly interconnected. Organisations should also assess their local context when applying these findings and continuously update and respond to their own list of weak signals.
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spelling pubmed-106187982023-11-02 Identifying weak signals to prepare for uncertainty in the energy sector Gilmore, Nicholas Koskinen, Ilpo Burr, Patrick Obbard, Edward Sproul, Alistair Konstantinou, Georgios Bilbao, Jose Daiyan, Rahman Kay, Merlinde Corkish, Richard Macgill, Iain Lovell, Emma Menictas, Chris Bruce, Anna Heliyon Research Article This study aims to prepare the energy sector for uncertainty using a foresight tool known as weak signals. Weak signals (subtle signs of emerging issues with significant impact potential) are often overlooked during strategic planning due to their inherent predictive uncertainty. However, the value does not lie in precise forecasting but in broadening the consideration of future possibilities. By proactively monitoring and addressing these otherwise neglected developments, stakeholders can gain early awareness of threats and opportunities and enhance their resilience, adaptability, and innovation. A panel of technology experts identified eight weak signals in this study: 1) growing mistrust and local grid security measures, 2) consumer reactions to overly prescriptive policies, 3) long-term forecasting errors for thin-margin projects, 4) emergence of variable power industries, and 5) establishment of intercontinental transmission precedence; including three potential ‘wild cards’ requiring proactive mitigation: 6) escalating electrical generation dependence on continued imports, 7) a new threat surpassing climate change, and 8) mass deployment of low-emissions technology triggering a runaway loss of social license. Political factors were the predominant source of uncertainty, as decisions can suddenly transform the energy landscape. Economic, technological, and social factors followed closely behind, generally through the emergence of new industries and behavioural responses. While environmental and legal factors were less frequent, stakeholders should still adopt a holistic approach, as the signals were found to be highly interconnected. Organisations should also assess their local context when applying these findings and continuously update and respond to their own list of weak signals. Elsevier 2023-10-20 /pmc/articles/PMC10618798/ /pubmed/37920500 http://dx.doi.org/10.1016/j.heliyon.2023.e21295 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Gilmore, Nicholas
Koskinen, Ilpo
Burr, Patrick
Obbard, Edward
Sproul, Alistair
Konstantinou, Georgios
Bilbao, Jose
Daiyan, Rahman
Kay, Merlinde
Corkish, Richard
Macgill, Iain
Lovell, Emma
Menictas, Chris
Bruce, Anna
Identifying weak signals to prepare for uncertainty in the energy sector
title Identifying weak signals to prepare for uncertainty in the energy sector
title_full Identifying weak signals to prepare for uncertainty in the energy sector
title_fullStr Identifying weak signals to prepare for uncertainty in the energy sector
title_full_unstemmed Identifying weak signals to prepare for uncertainty in the energy sector
title_short Identifying weak signals to prepare for uncertainty in the energy sector
title_sort identifying weak signals to prepare for uncertainty in the energy sector
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618798/
https://www.ncbi.nlm.nih.gov/pubmed/37920500
http://dx.doi.org/10.1016/j.heliyon.2023.e21295
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