Managing the socio-technical energy system of industrial plants and buildings: the new tool 'BIEN'

Kouloura, T.C.

doi:10.1504/ijass.2012.052233

Cited by 1 publication

(1 citation statement)

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“…The development of sustainable industries, the creation of jobs, and the general economic prosperity that comes with a switch to green energy are all significantly influenced by decision-makers [5,24]. Decisions about sustainable energy should consider the various demands of communities to guarantee that everyone may benefit from clean energy [25]. Sustainable energy is supported, community involvement is increased, and energy poverty is decreased when inclusive decision-making methods are used [26].…”

Section: Importance Of Decision-making In Sustainabilitymentioning

confidence: 99%

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Kaur,

Kumar,

Singh

et al. 2024

JSE

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The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency of energy systems. This article conducts an exhaustive analysis of the critical aspects concerning the AI-sustainable energy nexus, encompassing the challenges in technological integration and the facilitation of intelligent decision-making processes pivotal for sustainable energy frameworks. It is demonstrated that AI applications, ranging from optimization algorithms to predictive analytics, possess a revolutionary capacity to bolster intelligent decision-making in sustainable energy. However, this integration is not without its challenges, which span technological complexities and socio-economic impacts. The article underscores the imperative for deploying AI in a manner that is transparent, equitable, and inclusive. Best practices and solutions are proposed to navigate these challenges effectively. Additionally, the discourse extends to recent advancements in AI, including edge computing, quantum computing, and explainable AI, offering insights into the evolving landscape of sustainable energy. Future research directions are delineated, emphasizing the importance of enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining socio-economic ramifications, exploring models of human-AI collaboration, fortifying security measures, and evaluating the impact of emerging technologies. This comprehensive analysis aims to inform academics, practitioners, and policymakers, guiding the creation of a resilient and sustainable energy future.

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