A Review of Emerging Trends in Energy Data Management Systems

The integration of the Internet of Things (IoT) into various sectors, such as manufacturing, healthcare, agriculture, and transportation, has significantly enhanced the ability to gather data, process it through edge and cloud computing, and deliver IoT services to end users. However, the energy sector has yet to fully leverage these advancements. The primary associated challenge is the acquisition and processing of energy data which can be subject to stringent regulations imposed by data protection laws. This can hinder access to energy data for IoT service providers focusing on energy optimizations and analytics, thus hampering the development of energy IoT services. This challenge is particularly pertinent to manufacturing scenarios where energy-efficient processes are crucial for sustainable development. For example, in the context of battery production, energy data and services can be critical for optimizing processes and enhancing the manufacturing efficiency of battery cells. Thus, energy data can be essential for achieving sustainability and reducing costs as well as ensuring the effective use of energy resources, and minimizing the environmental footprint. To address the challenge of accessing energy data, emerging trends emphasize the application of data sovereignty principles and data policies that facilitate secure and compliant data sharing. This paper delves into these trends, offering a thorough review of existing approaches for sharing energy data and identifying related open problems. Overall, this work provides guidance for practitioners developing advanced energy data management systems and for researchers aiming to design novel approaches based on the latest advances in energy data management.