Title: Digital and Intelligent Technologies for Sustainable Energy Systems
Submission deadline:October 31st, 2024
Guest editors: Hailong Li, Yan Li, Youbo Liu
iScience editors: Rileigh DiDomenico and Haoran Ji
With increasing electrification and a shift towards more renewable and efficient energy, a global energy transformation is underway. Figuring out ways to couple renewable energy resources with existing infrastructure to control, connect, and deliver electricity reliably to where its needed is an important challenge, aided by the development of digital technologies.
A sustainable energy system is a multi-energy coupling system that widely integrates renewable energy resources. Based on the in-depth integration of advanced digital technologies, sustainable energy systems have undergone tremendous changes ranging from the structure to the mode of operation. Sustainable energy systems will be the digitalized appearance of the physical distribution network, in which ubiquitous connections and massive data will become the basic characteristics. The construction of sustainable energy systems has the potential to apply cloud computing, big data, Internet of Things, mobile internet, artificial intelligence, blockchain, and other new-generation digital technologies to accelerate high-quality electricity service and intelligent operation. The key to intelligent control of sustainable energy systems lies in the performance of edge computing chips, on-site data fusion mining methods, and effective collaboration of differentiated applications on the edge side. Research on edge computation and sustainable energy systems are essential to promote the transformation and upgrading of the intelligent energy industry. Moreover, in-depth research on refining the mechanism, rules, and knowledge of sustainable energy systems is needed for intelligent operation based on data. To develop high-quality intelligent electricity services, it is necessary to develop advanced digital technology to build sustainable energy systems as well as power edge computing core chips and equipment.
This special issue will focus on digital and intelligent technologies for sustainable energy systems. The aim is to present a state-of-the-art collection of innovative approaches, algorithms, and tools for edge computation and intelligent operation of sustainable energy systems.
The topics of interest to this issue include, but are not limited to, the following:
1. Concept and technical features of sustainable energy systems
2. Data acquiring, analyzing, and processing in sustainable energy systems
3. Advanced computation, simulation, and analysis for sustainable energy systems
4. Digitalization and data-driven control in sustainable energy systems
5. Coordinated flexible resources planning under uncertainties
6. Optimal operation and energy management of sustainable energy systems
7. Construction and pilot of benchmark cases in sustainable energy systems
iScience is the interdisciplinary, open access journal from Cell Press. We publish basic and applied research that advances a specific field across life, physical, and Earth sciences. Our model of continuous publication means research is immediately accessible. iScience is indexed by PubMed, Scopus, and Web of Science Citation Index (SCI), ensuring it reaches the widest possible audience. Our no-nonsense approach to submissions is simple, fast, and fair, and our commitment to integrity means we publish STAR Methods with high editorial standards. To learn more about submitting to iScience, visit our information for authors.
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