Data Mining Approaches for Smart Grids

Dear Colleagues,

Smart Grids represent a transformative evolution in the energy sector, merging digital technology with power systems to enhance efficiency, reliability, and sustainability. Amid this transformation, the integration of data mining techniques has emerged as a key driver of innovation. Data mining empowers Smart Grids to extract actionable insights from the vast volumes of data generated by grid sensors, meters, and devices. These insights enable grid operators to make informed decisions rapidly, optimize energy distribution, improve system efficiency, and strengthen overall grid sustainability.

This Special Issue seeks to compile state-of-the-art research, methodologies, and innovative applications of data mining in the context of Smart Grids. We welcome submissions on a wide range of topics related to data mining and its contributions to the advancement of Smart Grid technologies, including but not limited to:

1. Advanced data analytics for grid optimization.
2. Energy demand and supply forecasting.
3. Anomaly detection and fault diagnosis in Smart Grids.
4. Cybersecurity measures employing data mining techniques.
5. Customer engagement and demand response programs.
6. Integration of renewable energy sources with data-driven solutions.
7. Optimization and control strategies utilizing data mining.
8. Grid asset management and predictive maintenance.
9. Data-driven approaches for grid resilience.
10. Data quality enhancement for smart grid datasets.
11. Emerging trends and future directions in Smart grid data mining.
12. Policy and regulatory implications informed by data mining insights.

We anticipate that this Special Issue will provide readers with valuable insights into the state of the art in data mining techniques as applied to smart grids. It will include original research articles, reviews, case studies, and practical applications that demonstrate the transformative potential of data mining in the energy sector.

Dr. Julian Cardenas Barrera
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• smart grid
• data mining
• grid optimization
• predictive maintenance
• energy forecasting
• anomaly detection
• cybersecurity
• demand response
• renewable energy
• machine learning
• data quality
• grid resilience