Big Data and Advanced Analytics in Energy Systems and Applications
This special issue belongs to the section "A: Sustainable Energy".
Special Issue Information
Dear Colleagues,
Energy systems are becoming more and more complex and advanced as new concepts of energy production and utilization arise from technological developments. Sensors are collecting huge amounts of data during generation, transmission, distribution, and consumption of energy. The increasing complexity of energy systems requires finding new ways to utilize engineering experience and data collection to improve decision making. The energy markets are becoming broader as energy networks are expanded and interconnected. We are now facing the era of Internet of Thing and Internet of Energy. In this context, a new area of paramount importance is arising in the energy industry, big data in energy systems and applications. Operation data on supervisory control and data acquisition, energy management, distribution management, distributed energy resource management, and many more applications are now far too complex to be treated with legacy approaches and methods. The research work and many applications have proven the paramount importance of advancing bid data analytics to improve the design, operation, and maintenance of energy systems and have led to new advanced energy application.
This Special Issue intends to collect these different applications of big data in energy systems and present the diversity of possibilities of new methods, ideas, and solutions for energy applications. Original research papers, reviews, successful case studies and applications as well as opinion papers with high quality and novelty on “Big Data and Advanced Analytics in Energy Systems and Applications” are more than welcome.
Prof. Dr. Constantinos S. Psomopoulos
Assoc. Prof. Helen C. Leligou
Prof. Dr. Ferdinanda Ponci
Prof. Dr. Josep M. Guerrero
Prof. Dr. Elisa Peñalvo-López
Guest Editors
Manuscript Submission Information
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Keywords
- Big data applications in energy systems
- Distributed sensors systems for data collection in energy systems
- Utility analytics
- Machine learning and algorithms in energy
- Big data for energy transition
- Big data in critical energy infrastructure
- Big data analytics in microgrids
- Preventive and pervasive analytics in energy
- Advance energy applications of big data
- IoT and cloud in energy systems
- Data mining in energy systems
- Prediction analytics in energy systems
- Advanced energy systems modeling using data analytics
- Data in control applications for energy systems
- Digital twins and big data in energy
- PMUs and big data
- Big data in energy markets
- Big data in renewables
- Smart grids and big data
- Big data in power system operation and control
- Data classification and clustering in energy systems
- Big data analytics in clean energy application
- Big Data and the UN Sustainability Goals in energy
- Data analytics in electric traction systems
- Data analytics in load forecasting
- Data analytics and electric vehicles
- Artificial intelligence in energy systems
- Advance statistics for energy
- Internet of Energy
- Collection and visualization of data
- Data infrastructure for utilities
- Data and system awareness
- Digital transformation of energy systems
- Real-time data management
- Data based energy system optimization
- Big data and energy system reliability
- Operations data on supervisory control and data acquisition
- Data in energy management
- Distributed energy resource management
- Energy data in sustainable energy scenarios
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Published Papers
Energies - ISSN 1996-1073