Degradation of paint and textile industrial effluents by indigenous bacterial isolates

Adebajo, Seun Owolabi; Ojo, Abidemi; Bankole, Paul Olusegun; Oladotun, Abiola O.; Akintokun, P. O.; Ogunbiyi, Emmanuel O.; Bada, Anuoluwapo

doi:10.1080/10889868.2022.2057414

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Big data analytics enables demand response and load management programs by analyzing real-time data on energy consumption, grid conditions, and market dynamics. Demand response programs incentivize consumers to reduce or shift their energy usage during periods of high demand or grid congestion, helping utilities balance supply and demand, avoid blackouts, and reduce the need for expensive peaking power plants (Adebajo et al, 2023). Overall, big data analytics holds immense potential for optimizing energy efficiency, reducing energy waste, and promoting sustainable energy use across sectors.…”

Section: Big Data In Energy Transitionmentioning

confidence: 99%

Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Darlington Eze Ekechukwu,

Peter Simpa

2024

Comput. sci. IT res. j.

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Driving the transition to sustainable energy is a critical global imperative, and financial innovation plays a pivotal role in accelerating this process. This paper examines the intersection of financial innovation, big data, and Environmental, Social, and Governance (ESG) metrics in advancing the energy transition. By harnessing the power of big data and integrating ESG considerations into investment decisions, financial institutions can drive meaningful change towards a more sustainable energy future. The paper begins by exploring the concept of energy transition, highlighting its importance, drivers, and challenges. It then delves into the role of financial innovation, discussing examples and the opportunities it presents for driving the transition. Subsequently, it examines the significance of big data in understanding energy consumption patterns and optimizing energy efficiency, along with the role of ESG metrics in influencing investment decisions and corporate behavior. The critical role of big data and ESG metrics is emphasized, with a focus on their synergistic potential in driving sustainable investments and informing decision-making processes. Case studies are presented to illustrate successful applications of big data and ESG metrics in the energy sector. Finally, the paper discusses challenges and future directions, including regulatory considerations, technological advancements, and opportunities for collaboration. It concludes by underscoring the importance of continued financial innovation in driving the energy transition and calls for collective action towards a sustainable energy future. Keywords: Energy Transition, Financial Innovation, Big Data, ESG Metrics, Sustainability, Investment Decisions, Sustainable Energy, Renewable Energy, Climate Change

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Section: Big Data In Energy Transitionmentioning

confidence: 99%

Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Darlington Eze Ekechukwu,

Peter Simpa

2024

Comput. sci. IT res. j.

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“…Data warehouses offer structured storage solutions optimized for querying and analysis, providing a structured schema for organizing data and supporting complex analytics queries. Cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer scalable and cost-effective storage solutions for big data analytics (Adebajo et al, 2023). Cloud-based storage enables seamless integration with data analytics tools and provides access to advanced data processing capabilities, such as distributed computing and parallel processing.…”

Section: Big Data Tools and Technologies Data Collection And Storage ...mentioning

confidence: 99%

Strategic financial decision-making in sustainable energy investments: Leveraging big data for maximum impact

Luther Kington Nwobodo,

Chioma Susan Nwaimo,

Mayokun Daniel Adegbola

2024

Int. j. manag. entrep. res

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In the context of escalating environmental concerns and the transition towards a greener economy, sustainable energy investments have emerged as a pivotal area for financial growth and innovation. This paper outlines a strategic framework for financial decision-making in sustainable energy investments, emphasizing the transformative role of big data. By integrating big data analytics into the investment process, stakeholders can enhance market analysis, risk assessment, performance monitoring, and predictive modeling, leading to more informed and effective investment strategies. The paper delves into various big data sources, analytical tools, and technologies that facilitate the collection, processing, and interpretation of vast amounts of information. Additionally, it presents case studies illustrating successful applications of big data in solar and wind energy projects, highlighting best practices and common challenges. The discussion extends to future trends, including advancements in artificial intelligence and machine learning, which are poised to further revolutionize the sector. The paper concludes with strategic recommendations for developing a data-driven investment approach, building robust data infrastructures, and fostering a culture of continuous learning and adaptation. By leveraging big data, investors can maximize the impact of their investments, drive sustainable growth, and contribute to the global energy transition. Keywords: Sustainable Energy Investments, Big Data Analytics, Strategic Financial Decision-Making, Market Analysis, Risk Assessment, Predictive Modeling.

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Degradation of paint and textile industrial effluents by indigenous bacterial isolates

Cited by 2 publications

References 20 publications

Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Strategic financial decision-making in sustainable energy investments: Leveraging big data for maximum impact

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