Energy Informatics: Transforming Energy Systems with Data
*Corresponding Author: Dr. Robert Hansen, Dept. of ICT UiT The Arctic University, Norway, Email: r.hansen@uit-demo.noReceived Date: Sep 01, 2025 / Accepted Date: Sep 29, 2025 / Published Date: Sep 29, 2025
Citation: Hansen DR (2025) Energy Informatics: Transforming Energy Systems with Data. Innov Ener Res 14: 477.DOI: 10.4172/2576-1463.1000477
Copyright: © 2025 Dr. Robert Hansen This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation of research explores advancements in energy informatics, focusing on optimizing distributed energy resources,
smart building energy management, and cybersecurity for renewable infrastructure. It delves into digital twin applications for wind
farms, blockchain for peer-to-peer energy trading, and big data analytics for demand forecasting. Furthermore, it examines machine
learning for fault detection, edge computing for decentralized systems, data visualization for decision-making, and smart contracts for
autonomous grid management. These studies collectively underscore the pivotal role of data and advanced technologies in creating
a more efficient, reliable, and sustainable energy future.
