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Energy and Water Data Consolidation: Building a Standard Metadata Model for Integrated Systems

International Journal of Computer Techniques – Volume 12 Issue 2, April 2025

Diganta Sengupta
Principal Enterprise Architect, Oracle
Email: seng78in@gmail.com

Mrinmoy Aich
Principal Cloud Architect, Oracle
Email: mrinmoy.aich@gmail.com

Abstract

In the rapidly evolving energy and water sectors, efficient data exchange between disparate systems is increasingly critical to enhance operations, improve customer service, and streamline decision-making. Organizations in these sectors use a variety of applications—such as Enterprise Asset Management (EAM), Workforce and Asset Management (WAM), Field Service Asset Management (FSAM), Advanced Distribution Management Systems (ADMS), Meter Data Management (MDM), and Customer Care and Billing (CC&B)—to manage assets, workforce activities, and customer interactions. However, integrating data from these diverse systems remains a significant challenge.

This article explores how a standard metadata model for energy and water systems can serve as a bridge, facilitating the seamless exchange of data across multiple platforms and driving improvements in operational efficiency. By consolidating data from various sources into a centralized data platform, utilities can gain a unified view of operations, enabling more powerful analyses. Furthermore, advanced technologies such as forecasting models, predictive analytics, and AI-driven insights can enhance decision-making, helping utility leaders reduce costs, improve service delivery, and optimize their operations. This paper discusses key technologies for data integration, including cloud storage solutions, big data tools, and ETL processes, which form the backbone for effective data consolidation and analysis.

Keywords

Vector Embedding, Graph Database, Machine Learning, Time Series Data, Utility Systems, Energy Sector, Predictive Analytics, Forecasting Models

References

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Authors

Diganta Sengupta

Diganta Sengupta is a seasoned professional specializing in digital transformation, enterprise architecture, and data, AI, and cloud platform technologies. He currently holds the position of Principal Enterprise Cloud Architect for Energy & Utility vertical at Oracle Corporation in the United States, where he leads initiatives in these domains. Beyond his role at Oracle, Mr. Sengupta actively contributes to the academic and research communities. Diganta Sengupta is also a respected member of Forbes Technical Council, and he published journals in various IEEE conferences, blogs and various other platforms. Diganta’s educational background includes a Master of Science in Computer Science from Sikkim Manipal University, a Post Graduate Program in AI/ML from the University of Texas at Austin. He has also completed the Technology Leadership Program at the University of California, Berkeley Haas School of Business. His extensive experience and active participation in both industry and academia underscore his commitment to driving innovation and knowledge sharing in the fields of digital transformation and enterprise architecture.

Mrinmoy Aich

Mrinmoy Aich is a seasoned technology leader and Principal Cloud Architect at Oracle Corporation as part of the Energy & Utility vertical, based in Austin, Texas. With over two decades of experience in cloud architecture, enterprise integration, and digital transformation, he has been instrumental in designing and implementing scalable cloud solutions across various industries. His expertise encompasses multi-cloud environments, AI/ML integration, and advanced analytics, positioning him at the forefront of technological innovation. Mrinmoy holds a Master of Technology degree in Applied Computer Science from CMC Limited. He is an active contributor to the academic and professional community, with publications focusing on the convergence of AI and cloud technologies in supply chain management and financial forecasting. His work emphasizes the development of intelligent systems that enhance operational efficiency and decision-making processes. Beyond his technical contributions, Mrinmoy is recognized for his leadership and mentorship within the tech community. He engages in thought leadership through various platforms, where he shares insights on emerging technologies and their practical applications. His commitment to innovation and excellence continues to influence the evolution of cloud computing and enterprise architecture.

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