Optimization of renewable energy project portfolio selection using hybrid AIS-AFS algorithm in an international case study

In the coming decade, as restrictions on fossil fuel usage become more stringent, investment in renewable energy projects presents an increasingly appealing opportunity. Evaluating investment attractiveness involves considering both profitability and investment risk. This study proposes a multi-obje...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 17388 - 25
1. Verfasser:	Goli, Alireza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 29.07.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/4077 639/705 Algorithms Artificial immune system algorithm Economics Fish Swarm algorithm Fossil fuels Geographical distribution Humanities and Social Sciences Immune system International studies Investment risk Mathematical models multidisciplinary Profitability Renewable energy Renewable energy project portfolio Renewable resources Science Science (multidisciplinary) Sustainable development Renewable energy project portfolio Artificial immune system algorithm Investment risk Fish Swarm algorithm Profitability
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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