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Energies, Volume 18, Issue 21

November-1 2025 - 313 articles

Cover Story: Efficient wind power forecasting is crucial for large-scale wind energy integration. However, data scarcity poses challenges for training tailored models at many sites, creating operational uncertainties for early-life or prospective wind farms. This study proposes a spatiotemporal, national-level forecasting framework to address wind power data scarcity across Greece. A hybrid, wavelet-enhanced deep learning model is developed and optimized for 24-hour day-ahead forecasting. The model is trained on long-term historical data from a reference site in central Greece and tested across multiple geographically distributed areas with limited data. Results demonstrate that the model performs adequately for the first 12 forecast hours, highlighting the feasibility of leveraging data-rich regions to support forecasting in data-scarce locations. View this paper
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Articles (313)

  • Article
  • Open Access
376 Views
17 Pages

6 November 2025

This paper presents a cascaded control strategy for neutral-point-clamped three-level (NPC-3L) inverter-fed permanent magnet synchronous motors (PMSMs), integrating continuous-control-set model-predictive control (CCS-MPC) with mid-point voltage regu...

  • Article
  • Open Access
470 Views
33 Pages

6 November 2025

This paper focuses on assessing different sustainable energy generation and storage systems for residential buildings in Spain, identifying the best-performing system according to the end-user requirements. As outlined by the consulted literature, th...

  • Article
  • Open Access
249 Views
16 Pages

6 November 2025

In order to realize the wide frequency applicability of the electromagnetic current transformer in a ‘double high’ power system, the equivalent circuit model of the electromagnetic current transformer under wide frequency is established....

  • Article
  • Open Access
437 Views
21 Pages

6 November 2025

To handle the uncertainties brought by the increasing penetration of renewable energy sources and random loads, we design a stochastic multi-timescale distribution network reconfiguration (SMTDNR) framework to coordinate diverse scheduling resources...

  • Article
  • Open Access
811 Views
20 Pages

6 November 2025

Energy-intensive sectors in emerging nations have the simultaneous difficulties of trying to diminish greenhouse gas emissions while maintaining a stable and cost-effective energy supply. Rooftop solar photovoltaic (PV) systems offer a viable solutio...

  • Article
  • Open Access
333 Views
23 Pages

Multi-Step Sky Image Prediction Using Cluster-Specific Convolutional Neural Networks for Solar Forecasting Applications

  • Stylianos P. Schizas,
  • Markos A. Kousounadis-Knousen,
  • Francky Catthoor and
  • Pavlos S. Georgilakis

6 November 2025

Effective integration of photovoltaic (PV) systems into electric power grids presents significant challenges due to the inherent variability in solar energy. Therefore, accurate PV power forecasting in various timescales is critical for the reliable...

  • Review
  • Open Access
760 Views
48 Pages

Digital Twins for Space Battery Management Systems: A Comprehensive Review of Different Approaches for Predictive Maintenance and Monitoring

  • Roberto Giovanni Sbarra,
  • Michele Pasquali,
  • Giuliano Coppotelli,
  • Paolo Gaudenzi,
  • Davide di Ienno,
  • Carlo Ciancarelli and
  • Niccolò Picci

6 November 2025

The development of Digital Twin (DT) technology in Battery Management Systems (BMSs) presents a transformative approach for maintenance, monitoring, and predictive diagnostics, especially in the demanding field of space applications. DTs, through the...

  • Article
  • Open Access
308 Views
34 Pages

Gas Evolution and Stability of Alkali-Activated MSWI Slag and Fly Ash: Implications for Safe Use and Energy Valorization

  • Beata Łaźniewska-Piekarczyk,
  • Grzegorz Dzido,
  • Monika Czop and
  • Małgorzata Kajda-Szcześniak

6 November 2025

This study investigates the valorization of municipal solid waste incineration (MSWI) residues—specifically bottom ash with slag (BA + S) and fly ash (FA)—through alkaline activation in geopolymer and cementitious systems. The research de...

  • Article
  • Open Access
543 Views
27 Pages

BLDC Motor Models for Multi-Domain Modeling of Electric Power Tools

  • Paweł Kocwa,
  • Andrzej Tutaj,
  • Tomasz Drabek and
  • Paweł Piątek

6 November 2025

Accurate modeling of Brushless DC (BLDC) motors is crucial for the multi-domain simulation of complex electromechanical systems like electric torque tools, especially when high fidelity is required for Model-Based Design (MBD) and controller validati...

  • Article
  • Open Access
370 Views
36 Pages

6 November 2025

In this manuscript, an analysis of the prospect of using a direct-contact air, gravel, ground heat exchanger (GAHE)—patented and tested at the Wroclaw University of Science and Technology—as a simple and inexpensive way of improving micro...

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Energies - ISSN 1996-1073