Overview of Startups Developing Artificial Intelligence for the Energy Sector

The energy industry is experiencing a major change due to fast progress in artificial intelligence (AI). Startup companies in this revolution use AI technologies like Machine Learning (ML), predictive analytics, and optimization algorithms to improve energy efficiency, optimize grid management, and incorporate renewable energy sources. AI-powered solutions allow for a more accurate prediction of demand, immediate monitoring, and automated decision-making processes, significantly enhancing operational efficiency and sustainability. Through promoting a more effective energy system, these advancements play a vital role in the worldwide battle against climate change and carbon dioxide emissions. Adding to the progress of AI, quantum computing (QC) shows great potential despite being a nascent area. The collaboration of AI and QC is poised to transform the energy industry by offering unmatched computational capabilities. This blend of technologies can tackle intricate energy obstacles like enhancing power grids and enhancing battery storage, which traditional computers cannot currently handle. Combining QC with AI speeds up innovation, providing advanced solutions that improve the resilience and efficiency of energy networks. This paper discusses the latest advancements, possible effects, and upcoming paths of new companies leading in AI and QC innovations within the energy industry. Their joint responsibility is highlighted in advancing a sustainable and intelligent energy future, as well as tackling crucial environmental issues and lessening the impact of climate change.

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Publication Details

Journal
Applied Sciences
Published
2024-09-14
DOI
https://doi.org/10.3390/app14188294
Citations
15
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
14.19
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article

Overview of Startups Developing Artificial Intelligence for the Energy Sector

Naiyer Mohammadi Lanbaran, Gediminas Kairaitis, Neringa Radziukynienė, Darius Naujokaitis et al.
15 citations
Applied Sciences
Private Equity and Venture Capital
14.19
article

Overview of Startups Developing Artificial Intelligence for the Energy Sector

Naiyer Mohammadi Lanbaran, Gediminas Kairaitis, Neringa Radziukynienė, Darius Naujokaitis, Gabrielė Jenciūtė
article en
15 citations

Abstract

The energy industry is experiencing a major change due to fast progress in artificial intelligence (AI). Startup companies in this revolution use AI technologies like Machine Learning (ML), predictive analytics, and optimization algorithms to improve energy efficiency, optimize grid management, and incorporate renewable energy sources. AI-powered solutions allow for a more accurate prediction of demand, immediate monitoring, and automated decision-making processes, significantly enhancing operational efficiency and sustainability. Through promoting a more effective energy system, these advancements play a vital role in the worldwide battle against climate change and carbon dioxide emissions. Adding to the progress of AI, quantum computing (QC) shows great potential despite being a nascent area. The collaboration of AI and QC is poised to transform the energy industry by offering unmatched computational capabilities. This blend of technologies can tackle intricate energy obstacles like enhancing power grids and enhancing battery storage, which traditional computers cannot currently handle. Combining QC with AI speeds up innovation, providing advanced solutions that improve the resilience and efficiency of energy networks. This paper discusses the latest advancements, possible effects, and upcoming paths of new companies leading in AI and QC innovations within the energy industry. Their joint responsibility is highlighted in advancing a sustainable and intelligent energy future, as well as tackling crucial environmental issues and lessening the impact of climate change.

Applied SciencesVol. 14(18)
Lithuanian Energy Institute (LT)
Openalex Percentile: Top 1%
Private Equity and Venture Capital
14.19
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Overview of Startups Developing Artificial Intelligence for the Energy Sector — Naiyer Mohammadi Lanbaran, Gediminas Kairaitis, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS