Electrical Engineering & Technology Professional | Smart-Grid Technology | Artificial Intelligence | Electric Utility Analytics
Shrey is a U.S.-based electrical engineering and technology professional with over nine years of experience in the electric utility industry. His professional expertise spans electrical engineering, advanced metering infrastructure (AMI), artificial intelligence (AI), machine learning (ML), data science, smart-grid technologies, and electric utility operations. His work emphasizes the integration of emerging technologies, advanced analytics, and engineering principles to improve the efficiency, reliability, and performance of modern electric utility systems.
He currently works in public electric utility in Texas. His professional experience combines electrical engineering, advanced metering infrastructure (AMI), artificial intelligence, machine learning, data science, and electric utility operations.
His work focuses on analyzing large-scale smart-meter and electric-grid datasets to improve operational efficiency, grid reliability, energy forecasting, and data-driven decision-making. His responsibilities include smart-meter data management, utility system integration, predictive analytics, meter fault detection, outage analysis, and meter inventory supply-and-demand forecasting.
His interdisciplinary background enables him to examine how emerging technologies can address practical challenges in electricity distribution, utility infrastructure, and modern power systems.
Using data, technology and innovation to support a more reliable, efficient and future-ready electric grid.
Combining engineering, data and emerging technologies to solve real-world challenges in electric utilities and power systems.
Smart meters, AMI, Head-End Systems (HES), MDMS, meter communication, utility data integration, smart-meter performance monitoring, and grid modernization.
Application of AI and machine learning to electric utility operations, anomaly detection, predictive analytics, electricity load forecasting, data quality monitoring, intelligent automation, and large-scale utility data analysis.
Power outage prediction, momentary and sustained interruption analysis, smart-meter fault detection, transformer health monitoring, equipment failure identification, and risk-based grid maintenance.
Utility operational analytics, smart-meter inventory forecasting, automated data validation, operational dashboards, resource planning, performance monitoring, and data-driven decision-making.
AI data-center electricity demand, electrical transformer capacity, grid expansion, electricity supply and demand, smart-grid modernization, and the role of emerging technologies in future power systems.
Utility data protection, smart-meter communication security, connected infrastructure, information systems security, and cybersecurity considerations in modern electric power systems.
His technical interests and innovation activities include AI-based smart-meter fault detection, transformer health prediction, predictive outage analytics, and the application of machine learning to improve electric utility reliability and operational efficiency.
His professional activities also include technical writing, scholarly publications, engineering research, and participation in the evaluation of technology and innovation projects.
Articles, research papers and expert commentary
Assessment of innovation and emerging technologies
Knowledge sharing for engineers, professionals and the broader community
Shrey is available to contribute technical articles, expert commentary, industry analysis, and educational content on electrical engineering, smart-grid infrastructure, artificial intelligence, machine learning, electric utility operations, grid reliability, and energy infrastructure.