Open Data Platform as a Source of ML-Driven Innovations in the Energy Sector

Nepsha, Fedor; Voronin, Vyacheslav; Kovalyov, Serge

doi:10.1109/bussec59406.2023.10296377

Cited by 1 publication

(1 citation statement)

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“…The integration of Internet of Things (IoT) technologies has led to an exponential increase in data generation, providing opportunities for leveraging big data processing and ML methods. The proposed ecosystem approach for establishing an open data platform highlights the potential of ML-driven innovations to transform the energy sector by fostering collaboration and accelerating innovation (Nepsha et al, 2023). Pata et al (2023) examine the impact of technological innovations and clean energies on CO2 reduction in China.…”

Section: Technological Innovations Driving Advances In Geo-datamentioning

confidence: 99%

Advancements in geo-data analytics: Implications for U.S. energy policy and business investment

Preye Winston Biu,

Zamathula Queen Sikhakhane Nwokediegwu,

Onyeka Henry Daraojimba

et al. 2024

World J. Adv. Res. Rev.

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This scholarly exploration delves into the pivotal role of geo-data analytics in shaping U.S. energy policy and business investment strategies. Set against the backdrop of an evolving energy landscape, the study aims to elucidate how geo-data, as a critical modern asset, influences and directs the dynamics of energy policy-making and investment decisions. The scope of the paper encompasses a comprehensive analysis of the integration and implications of geo-data in energy sector dynamics, highlighting its significance in policy formulation, resource management, and the transition towards sustainable energy practices. Employing a qualitative methodology, the study synthesizes insights from a range of peer-reviewed literature, case studies, and policy analyses. This approach facilitates a deep understanding of the multifaceted influence of geo-data analytics, from optimizing energy systems and projecting future demands to informing policy decisions and understanding global market trends. The findings reveal that geo-data analytics significantly impacts energy policy formulation and business investment decisions, offering predictive insights, tailoring local goals, and strategizing for sustainable energy practices. However, challenges such as data accuracy, integration complexities, and the need for advanced analytical tools are also highlighted. Conclusively, the study underscores the indispensable role of geo-data in navigating the complex energy sector. Recommendations emphasize enhancing data accuracy, accessibility, and the integration of advanced analytical tools. The study advocates for a participatory approach in policy formulation, ensuring that geo-data-driven policies are inclusive, effective, and aligned with sustainable energy goals. This research serves as a valuable resource for policymakers, industry stakeholders, and academics, underlining the transformative potential of geo-data in steering the energy sector towards efficiency, sustainability, and resilience.

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Section: Technological Innovations Driving Advances In Geo-datamentioning

confidence: 99%