Special Issue "Data Analytics in the Energy Sector"

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".

Deadline for manuscript submissions: 30 September 2022 | Viewed by 1410

Special Issue Editor

Special Issue Information

Dear Colleagues,

Existing energy solutions have longstanding challenges in achieving optimal operational planning goals. On the operational side, existing energy networks are mainly controlled by local controllers with no/limited communications with other units, while being optimized only for specific local operation goals. Moreover, although real-time operation data may be available, a highly efficient system-level data analysis and decision-making process is severely missing current energy systems research, so existing decision-making energy management systems have very limited adaptivity to dynamic operation conditions. Likewise, at the planning level, decisions related to the purchase, placement, and sizing of energy-related devices are largely made within each sector “silo”, disregarding the huge potential of optimal interaction between different energy vectors. The traditional approach makes it almost impossible to achieve cost-effective, flexible and robust energy planning, and prevents the efficient use of infrastructures and research solutions.

This Special Issue will cover promising and dynamic areas of research and development in data analytics methods for the energy sector and will allow us to gather contributions to developing and applying such methods in different domains, ranging from energy generation, trading, and transmission to energy distribution, and consumption. This Special Issue also seeks papers to report advances in any aspect of these developments. The manuscripts should be unpublished and report significant advancements.

Prof. Dr. Amjad Anvari-Moghaddam
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. Inventions is an international peer-reviewed open access quarterly 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 1500 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.

Keywords

  • Data analytics for energy system planning and portfolio investment
  • Data analytics for enhanced monitoring
  • Machine learning applications in energy systems
  • Cognitive sector coupling
  • Data analytics for energy system operation and control
  • Data classification and clustering
  • Distributed data mining
  • Data-driven uncertainty characterization of stochastic renewable energy resources
  • Energy forecasting and management
  • Data collection and processing
  • Operation and control of energy systems
  • Fault detection and diagnosis for energy systems
  • Energy conversion, conservation and management
  • Artificial intelligence for smart energy
  • Data analytics for multi-energy integration
  • Data analytics for energy market and energy trading
  • Data detection, fusion, processing, storage and information management in energy system
  • Sectors data and regional data on energy, water, climate change and sustainability
  • Data mining and big data fusion technology
  • Data and the applications on low-carbon development pathways
  • Data and the applications on technology improvement and optimization
  • Scalable data analytics
  • Micro- and nano-energy systems and technologies

Published Papers (1 paper)

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Research

Article
Carbon Emissions and Renewables’ Share in the Future Iberian Power System
Inventions 2022, 7(1), 4; https://doi.org/10.3390/inventions7010004 - 21 Dec 2021
Viewed by 902
Abstract
The main objective of this study is to assess if the targets set by the European Commission (EC) relating to the share of renewables and CO2 emissions by 2030 will be accomplished by the Iberian power system. In this regard, several projections [...] Read more.
The main objective of this study is to assess if the targets set by the European Commission (EC) relating to the share of renewables and CO2 emissions by 2030 will be accomplished by the Iberian power system. In this regard, several projections for each generation technology’s installed capacity in the future power system are identified. These forecasts were issued by governmental and private Iberian organizations and by the European Association of Transmission System Operators (ENTSOE), the latter with three scenarios regarding the speed of the energy transition. The outputs of the study are extended to the 2040 horizon and include the energy generated by each technology, the CO2 emissions, the costs involved in the decarbonization, and the storage capacity needed to compensate for the renewables’ variability. The conclusion is that the Iberia peninsular is on the right path to achieve a fully decarbonized power system by 2040, outperforming by far the EC’s targets in 2030 if the governmental projections are followed. A significant capacity of storage options is envisaged to compensate for the variability of generation from renewables and to replace the power regulation services provided by the fossil fuel plants that will be shut down. Full article
(This article belongs to the Special Issue Data Analytics in the Energy Sector)
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