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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10618798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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