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Electricity, Volume 6, Issue 2

June 2025 - 19 articles

Cover Story: The article addresses the topic of load forecasting in electrical systems. This issue is closely tied to energy security, particularly in a context where energy systems are becoming increasingly complex to manage, due to the growing integration of variable resources, evolving consumption patterns, and the need for real-time operational flexibility. Actual electrical systems are facing mounting challenges that demand more sophisticated forecasting and control strategies. The work shows how, starting from available data, highly accurate electricity demand forecasts of the Italian system can be obtained using a specific Machine Learning algorithm. It highlights how data-driven methods have progressively outperformed traditional physics-based models, while noting that further improvements will likely require integrating physical elements. View this paper 
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Articles (19)

  • Article
  • Open Access
1 Citations
1,575 Views
34 Pages

Power systems need to meet the ever-increasing demand for higher quality and reliability of electricity in distribution systems while remaining sustainable, secure, and economical. The globe is moving toward using renewable energy sources to provide...

  • Article
  • Open Access
1 Citations
1,625 Views
18 Pages

As renewable energy penetration and extreme weather events increase, accurately predicting power system behavior is essential for reducing risks and enabling timely interventions. This study presents a physics-informed learning approach to forecast t...

  • Article
  • Open Access
1 Citations
2,132 Views
31 Pages

The growing integration of photovoltaic (PV) energy systems and electric vehicles (EVs) introduces new challenges in managing energy flow within smart grid environments. The intermittent nature of solar energy and the variable charging demands of EVs...

  • Review
  • Open Access
2,250 Views
30 Pages

In the future, higher penetrations of electrical loads in low-voltage distribution grids are to be expected. To prevent grid overload, a possible solution is coordination of controllable loads. Typical examples might be charging of electric vehicles...

  • Article
  • Open Access
2 Citations
2,575 Views
23 Pages

Balancing electricity production and distribution remains a central challenge in modern energy systems, especially with the increasing penetration of renewable sources that introduce variability and uncertainty. In this context, accurate forecasting...

  • Article
  • Open Access
1 Citations
1,240 Views
18 Pages

Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting

  • Isidro Fraga-Hurtado,
  • Julio Rafael Gómez-Sarduy,
  • Zaid García-Sánchez,
  • Hernán Hernández-Herrera,
  • Jorge Iván Silva-Ortega and
  • Roy Reyes-Calvo

This study explores advanced multivariate models that incorporate non-climatic exogenous variables for very short-term photovoltaic energy forecasting. By integrating historical energy data from multiple photovoltaic plants, the research aims to impr...

  • Article
  • Open Access
2,936 Views
23 Pages

Decoding Harmonics: Total Harmonic Distortion in Solar Photovoltaic Systems with Integrated Battery Storage

  • Johana-Alejandra Arteaga,
  • Yuri Ulianov López,
  • Jesús Alfonso López and
  • Johnny Posada

This paper analyzes the power quality in a 400 kWp grid-connected solar photovoltaic system with storage (BESS), considering standards IEEE Std 519TM, IEEE Std 1159TM, and IEC 61000-4-30. For system analysis, a photovoltaic array model is developed....

  • Article
  • Open Access
1 Citations
1,847 Views
17 Pages

This article is devoted to the determination of the average daily electric load and the average electric load during the hours of maximum load, taking into account the generalized coefficient Ai, using data on electricity consumption for apartment bu...

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Electricity - ISSN 2673-4826