Open Data Platform as a Source of ML-Driven Innovations in the Energy Sector

This article explores the challenges and potential solutions associated with the accumulation and utilization of open data in the energy sector, particularly in the context of machine learning (ML)-driven innovations. The growing adoption of Internet of Things (IoT) technologies has led to a significant increase in data generation, creating opportunities for leveraging big data processing and ML methods. However, the lack of an effective ecosystem for ML-driven innovations in the energy sector hampers progress. The article discusses the main problems related to open data accumulation and usage and reviews existing publications on organizing open data in the energy sector. It proposes an ecosystem approach to establish an open data platform that meets stakeholders' needs and accelerates innovation. Additionally, it introduces the application of a data lakehouse architecture as an efficient storage and management solution for the platform. By addressing the challenges and implementing the suggested solutions, the energy sector can unlock the full potential of open data, foster collaboration, and drive transformative innovations.