Engineering solutions for clean energy: Optimizing renewable energy systems with advanced data analytics DOI Creative Commons

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Portia Oduro,

Peter Simpa

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(6), С. 2050 - 2064

Опубликована: Июнь 13, 2024

This paper explores the role of advanced data analytics in optimizing renewable energy systems to achieve clean objectives. As world transitions towards sustainable sources, intermittency and variability sources present significant challenges. Traditional approaches managing these challenges often fall short terms efficiency scalability. However, offers promising solutions by leveraging large volumes optimize production, storage, distribution. discusses various techniques such as predictive modeling, optimization algorithms, grid management strategies enabled analytics. Case studies highlight real-world applications wind solar optimization, showcasing effectiveness data-driven improving output integration. Despite potential benefits, privacy, security, regulatory frameworks remain important considerations. Looking ahead, integration IoT sensor technologies holds promise for further enhancing performance systems. By fostering collaboration between researchers, policymakers, industry stakeholders, we can accelerate adoption propel transition a future. Keywords: Renewable Energy, Advanced Data Analytics, Predictive Modeling, Optimization Algorithms, Grid Integration, Sustainability.

Язык: Английский

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

Luther Kington Nwobodo,

Chioma Susan Nwaimo,

Mayokun Daniel Adegbola

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1982 - 1996

Опубликована: Июнь 24, 2024

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

Язык: Английский

Процитировано

17

Exploring financing models for clean energy adoption: Lessons from the United States and Nigeria DOI Creative Commons

Portia Oduro,

Peter Simpa,

Darlington Eze Ekechukwu

и другие.

Global Journal of Engineering and Technology Advances, Год журнала: 2024, Номер 19(2), С. 154 - 168

Опубликована: Май 29, 2024

This paper examines financing models for clean energy adoption, drawing insights from experiences in the United States and Nigeria. It underscores significance of need to explore effective mechanisms facilitate its widespread adoption. Through an analysis current state adoption both countries, existing initiatives challenges are outlined. Lessons gleaned successful States, including government incentives, public-private partnerships, renewable credits, then explored. These lessons serve as a foundation assessing how similar approaches can be adapted Nigerian context. Specific attention is given unique facing Nigeria, such infrastructure limitations socioeconomic disparities, tailored address these obstacles. A comparative between two countries identifies similarities, differences, potential transferability models. Based on insights, recommendations proposed emphasizing importance context-specific accelerate Overall, this provides comprehensive exploration offering valuable policymakers, stakeholders, practitioners

Язык: Английский

Процитировано

16

Developing scalable data solutions for small and medium enterprises: Challenges and best practices DOI Creative Commons

Ebunoluwa Johnson,

Omorinsola Bibire Seyi- Lande,

Gbenga Sheriff Adeleke

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1910 - 1935

Опубликована: Июнь 13, 2024

The rapid digital transformation sweeping across various industries has underscored the critical importance of data solutions for small and medium enterprises (SMEs). Developing scalable SMEs presents a unique set challenges requires adopting best practices tailored to their specific needs constraints. This review outlines aspects creating infrastructures SMEs, focusing on involved. Scalability in refers ability system handle growing amounts an increasing number users without compromising performance. For are vital as they provide flexibility expand operations adapt market changes efficiently. primary components such include storage, processing, analytics, security. Each component must be designed accommodate growth, ensuring remains efficient cost-effective business scales. face several developing solutions. Limited financial resources often restrict invest advanced technologies hire skilled personnel. Additionally, many lack in-house expertise required implement maintain complex systems. Data integration poses another significant challenge, particularly when dealing with disparate sources legacy Security compliance also present considerable hurdles, ensure meet regulatory standards extensive budgets or dedicated teams. Furthermore, scalability involves performance trade-offs, carefully balance cost, efficiency, future growth potential. Lastly, risk vendor lock-in can limit increase long-term costs, making it crucial choose technology partners wisely. To address these challenges, adopt practices. Conducting thorough assessment is essential align goals identify most requirements. Choosing right stack evaluating benefits cloud-based versus on-premises deciding between open-source proprietary software based budget Implementing robust management strategies, including governance quality management, ensures reliability integrity data. Effective techniques seamless accurate analytics. Leveraging cloud services advantageous offering infrastructure lower upfront costs. Selecting suitable service provider clear migration strategy significantly enhance flexibility. Ensuring security paramount; should strong measures, adhere requirements, conduct regular audits. Building team, either by investing training existing staff collaborating external experts, successful implementation Creating data-driven culture within organization drive better decision-making foster innovation. Monitoring optimizing solution continuously that meets evolving business. Utilizing analytics bottlenecks areas improvement help efficiency effectiveness. stay informed about trends solutions, artificial intelligence, machine learning, edge computing, multi-cloud remain competitive prepared growth. While enable them overcome obstacles harness power sustainable advantage. approach not only addresses current operational but positions demands technological advancements. Keywords: Scalable, Solution, Small Medium, Enterprise.

Язык: Английский

Процитировано

16

Addressing environmental justice in clean energy policy: Comparative case studies from the United States and Nigeria DOI Creative Commons

Portia Oduro,

Peter Simpa,

Darlington Eze Ekechukwu

и другие.

Global Journal of Engineering and Technology Advances, Год журнала: 2024, Номер 19(2), С. 169 - 184

Опубликована: Май 29, 2024

This paper explores the intersection of environmental justice and clean energy policy through a comparative analysis case studies from United States Nigeria. Environmental justice, defined as fair treatment meaningful involvement all people in decisions, is increasingly recognized critical aspect transitioning to systems. By examining policies initiatives both countries, this study aims identify successes, challenges, lessons learned addressing considerations. In States, focuses on federal state-level policies, assessing their impact marginalized communities efforts promote equity access resources. Similarly, Nigeria, attention given government-led implications for particularly rural underserved areas. Through lens, highlight’s common themes divergent approaches between two countries. It identifies opportunities cross-country collaboration knowledge sharing advance equitable sustainable transitions globally. The findings underscore importance integrating principles into development implementation, with recommendations provided policymakers stakeholders inclusivity, fairness, community engagement shaping future energy.

Язык: Английский

Процитировано

14

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

Omowonuola Ireoluwapo Kehinde Olanrewaju,

Darlington Eze Ekechukwu,

Peter Simpa

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1434 - 1452

Опубликована: Июнь 14, 2024

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

Язык: Английский

Процитировано

14

A comprehensive review of it governance: effective implementation of COBIT and ITIL frameworks in financial institutions DOI Creative Commons

Oluwatosin Ilori,

Nelly Tochi Nwosu,

Henry Nwapali Ndidi Naiho

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1391 - 1407

Опубликована: Июнь 14, 2024

In the rapidly evolving landscape of financial institutions, robust IT governance is essential to ensure that information technology supports business goals, mitigates risks, and complies with regulatory requirements. This comprehensive review examines effective implementation two prominent frameworks, COBIT (Control Objectives for Information Related Technologies) ITIL (Information Technology Infrastructure Library), within institutions. The highlights unique features, advantages, challenges associated each framework, provides insights into their synergistic application optimizing governance. a framework focuses on management enterprise IT, providing structured approach aligning strategy, managing risk, ensuring compliance. ITIL, other hand, set detailed practices service (ITSM) delivering value customers improving quality. While offers high-level model, guidance processes. integration frameworks holistic governance, combining COBIT’s strategic oversight ITIL’s operational focus. synergy enhances ability institutions achieve excellence, compliance, alignment. Case studies from leading demonstrate how combined use has led improved risk management, delivery. also addresses encountered during these including organizational resistance, complexity integration, need continuous improvement. Strategies overcoming are discussed, emphasizing importance executive sponsorship, stakeholder engagement, tailored training programs. conclusion, this underscores critical role in strengthening By effectively implementing can enhance capabilities, drive efficiencies, compliance standards. findings provide valuable leaders practitioners seeking optimize support objectives organizations. paper, I examine significant impact integrating efficiency, draw case practical examples my extensive experience illustrate concepts. Keywords: Governance, Financial Institutions, COBIT, Effective Implementation.

Язык: Английский

Процитировано

14

Enhancing IT audit effectiveness with agile methodologies: A conceptual exploration DOI Creative Commons

Oluwatosin Ilori,

Nelly Tochi Nwosu,

Henry Nwapali Ndidi Naiho

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(6), С. 1969 - 1994

Опубликована: Июнь 13, 2024

This concept paper examines the integration of Agile methodologies into IT audit processes to enhance effectiveness and efficiency. In today's dynamic rapidly evolving technological landscape, traditional approaches often struggle keep pace with speed complexity environments. methodologies, originating from software development, offer a flexible iterative framework that can revolutionize practices. The begins by highlighting limitations in addressing challenges posed modern systems. It then introduces principles practices, explaining how they be adapted applied within context audits. By embracing Agile, auditors shift rigid, linear iterative, collaborative promote adaptability, responsiveness, continuous improvement. Key components such as sprints, stand-up meetings, user stories, are explored audits, demonstrating streamline planning, execution, reporting. also discusses cultural required for successful adoption teams organizations, emphasizing importance communication, collaboration, mindset focused on delivering value. Through case studies real-world examples, illustrates tangible benefits applying These include increased coverage, faster identification risks issues, enhanced stakeholder engagement, improved alignment business objectives. Additionally, practices enable adapt changing priorities emerging more effectively, ensuring activities remain relevant impactful Despite its potential benefits, audits presents resistance, skill gaps, need organizational support buy-in. addresses these proposes strategies overcoming them, including training development initiatives, pilot projects. conclusion, advocates means effectiveness, value delivery. better meet demands digital driving improvement innovation processes. this paper, I analyze particularly Scrum, explore improve overall supported practical examples insights my professional experience. Keywords: Enhancing, IT, Audit Effectiveness, Methodologies, Conceptual Exploration.

Язык: Английский

Процитировано

13

Frameworks for effective data governance: best practices, challenges, and implementation strategies across industries DOI Creative Commons

Naomi Chukwurah,

Adebimpe Bolatito Ige,

Victor Ibukun Adebayo

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1666 - 1679

Опубликована: Июль 25, 2024

This paper explores frameworks for effective data governance, emphasizing the importance of robust policies, processes, roles, and metrics. It outlines best practices ensuring high quality, privacy, security while highlighting stakeholder engagement role technology. The also discusses implementation challenges, including organizational, technical, regulatory, cultural obstacles. presents tailored strategies various industries such as financial services, healthcare, retail, manufacturing, public sector. Future directions research include integration AI machine learning, evolving privacy regulations, challenges posed by big IoT. Effective governance is crucial managing risks, compliance, unlocking full potential assets across industries. Keywords: Data Governance, Quality Management, Privacy, Regulatory Compliance.

Язык: Английский

Процитировано

13

Renewable energy expansion: Legal strategies for overcoming regulatory barriers and promoting innovation DOI Creative Commons

Portia Oduro,

Peter Simpa,

Darlington Eze Ekechukwu

и другие.

World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 12(1), С. 168 - 186

Опубликована: Май 29, 2024

The expansion of renewable energy sources is pivotal in mitigating climate change and transitioning towards a sustainable future. However, the realization this transition faces numerous regulatory barriers that impede deployment integration technologies. This abstract explores legal strategies essential for overcoming these promoting innovation expansion. Regulatory hurdles often stem from outdated policies, complex permitting processes, conflicting regulations at various governmental levels. Moreover, uncertainties surrounding property rights, land use, interconnection standards pose significant challenges to developers investors. To address barriers, frameworks must evolve accommodate unique characteristics requirements projects. Effective encompass range interventions, including streamlining procedures, harmonizing across jurisdictions, providing clarity on contractual frameworks. Furthermore, innovative policy mechanisms such as feed-in tariffs, portfolio standards, tax incentives can incentivize while ensuring compliance. Promoting requires proactive approach reform. involves fostering collaboration between policymakers, industry stakeholders, experts identify bottlenecks develop tailored solutions. Additionally, flexible allow experimentation adaptation technological advancements are driving sector. Case studies jurisdictions illustrate successful employed overcome promote These examples highlight importance stakeholder engagement, adaptive governance structures facilitating economy. In conclusion, multifaceted combines legal, policy, By adopting strategies, policymakers create an enabling environment fosters deployment, accelerates innovation, advances

Язык: Английский

Процитировано

12

Enhancing business intelligence in e-commerce: Utilizing advanced data integration for real-time insights DOI Creative Commons

Omorinsola Bibire Seyi- Lande,

Ebunoluwa Johnson,

Gbenga Sheriff Adeleke

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1936 - 1953

Опубликована: Июнь 13, 2024

This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, virtualization, API integration, streaming businesses achieve a comprehensive, unified view of their data. The enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, improved support. Despite challenges silos, quality issues, scalability, security, technical complexity, solutions like governance, cloud computing, analytics tools address these obstacles. Future trends, including artificial intelligence, machine learning, edge block chains, fabric, promise to further transform e-commerce. Ultimately, are essential for companies stay competitive, optimize operations, satisfaction. In fast-paced competitive world e-commerce, ability make quick, informed decisions is crucial success. Business Intelligence (BI) plays vital role by transforming vast amounts into actionable that drive strategic operational efficiency. chain, Case studies from leading illustrate practical benefits implementing techniques, showcasing significant improvements efficiency Keywords: Intelligence, E-commerce Analytics, Data Integration, Real-Time Insights.

Язык: Английский

Процитировано

12