Data-Driven Approaches for Sustainable Energy Systems: Forecasting, Storage, and Market Optimization
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 87
Special Issue Editors
Interests: statistical learning; time series; forecasting; exploratory data analysis; R
Interests: power systems operations and economics; energy (electricity and gas) markets; derivative and insurance pricing; portfolio optimization; optimization under uncertainty (stochastic, robust and distributionally robust optimization); modern multivariate statistics and data analysis; hierarchical optimization (multi-level optimization); game theory
Special Issue Information
Dear Colleagues,
The global energy transition requires innovative, data-driven methodologies to enhance the efficiency, resilience, and sustainability of renewable energy systems. This Special Issue focuses on advanced statistical learning, forecasting, and optimization techniques for the operation and planning of power systems, with particular attention to electricity and gas markets, as well as sustainable energy storage technologies. We invite contributions that leverage time series analysis, game theory, and hierarchical optimization to model complex energy systems under uncertainty, evaluate pricing mechanisms, assess storage deployment strategies, and support policy development.
This Issue aims to bridge the gap between modern statistical and optimization tools and their applications in sustainable energy systems, including the growing need for scalable and cost-effective storage solutions. It will complement the existing literature by emphasizing interdisciplinary approaches to support regulatory design, infrastructure planning, and the economic viability of renewable integration. Contributions are expected to highlight how methodological advances can help measure and promote sustainability, ensuring low-carbon, reliable, and affordable energy for all.
Prof. Dr. Paula Maçaira
Dr. Bruno Fanzeres
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy systems
- energy storage technologies
- forecasting and time series analysis
- energy markets (electricity and gas)
- optimization under uncertainty
- sustainable energy policy
- statistical learning
- game theory in energy systems
- decision support for energy transition
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