Sustainable Energy, Grids and Networks

Top Research Topics at Sustainable Energy, Grids and Networks?

The journal explores disciplines such as Electric power system, Control theory, Distributed generation, Microgrid and Renewable energy. Electric power system research presented in Sustainable Energy, Grids and Networks encompasses a variety of subjects, including Control engineering, Mathematical optimization and Smart grid. Specifically, studies on Optimization problem are prevalent in the Mathematical optimization works discussed.

The journal addresses concerns in Control theory which are intertwined with other disciplines, such as Wind power, Voltage droop and AC power, Voltage. While work presented in it provided substantial information on Voltage, it also covered topics in Automotive engineering and Electronic engineering. The research on Distributed generation tackled can also make contributions to studies in the areas of Reliability engineering, Distributed computing and Demand response.

The journal held discussions to help close the divide between two different fields of study: Demand response and Flexibility (engineering). The work on Microgrid addressed in Sustainable Energy, Grids and Networks expands to the thematically related Energy management. Some problems in Renewable energy that were presented in the journal overlapped with concepts under Electricity, Energy storage, Electricity generation, Photovoltaic system and Environmental economics.

• Electric power system (22.89%)
• Control theory (20.22%)
• Distributed generation (16.44%)

What are the most cited papers published in the journal?

• Deep learning for estimating building energy consumption (283 citations)
• Battery energy storage system for primary control reserve and energy arbitrage (71 citations)
• Experimental analysis of data-driven control for a building heating system (70 citations)

Research areas of the most cited articles at Sustainable Energy, Grids and Networks:

The published articles focus largely on the fields of Smart grid, Renewable energy, Demand response, Distributed generation and Electric power system. The journal publications explore topics in Renewable energy which can be helpful for research in disciplines like Electricity, Fuzzy logic, Energy storage, Electricity generation and Environmental economics. The journal papers focus on Demand response but the discussions also offer insight into other areas such as Reliability engineering, Mathematical optimization and Electricity market.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Computer network
• Electrical engineering

The previous edition focused in particular on these issues:

Sustainable Energy, Grids and Networks generally zeroes in on subjects such as Electric power system, Microgrid, Renewable energy, Control theory and Mathematical optimization. While work presented in Sustainable Energy, Grids and Networks provided substantial information on Electric power system, it also covered topics in Electric vehicle, Network topology and Smart grid. In addition to Microgrid research, Sustainable Energy, Grids and Networks aims to explore topics under Fault (power engineering), Distributed generation and Energy management.

The featured Distributed generation studies mainly concentrate on Reliability engineering but also cover areas of interest in Islanding. The research on Renewable energy tackled can also make contributions to studies in the areas of Electricity, Electricity market, Order (exchange), Photovoltaic system and Environmental economics. Voltage droop and AC power, Converters, Voltage are some topics wherein Control theory research discussed in Sustainable Energy, Grids and Networks have an impact.

The most cited articles from the last journal are:

• Developing optimal energy management of energy hub in the presence of stochastic renewable energy resources (9 citations)
• Risk-constrained non-probabilistic scheduling of coordinated power-to-gas conversion facility and natural gas storage in power and gas based energy systems (8 citations)
• Deep reinforcement learning for energy management in a microgrid with flexible demand (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Sustainable Energy, Grids and Networks (based on the number of publications) are:

• Luigi Vanfretti (8 papers) published 1 paper at the last edition,
• Hossein Hooshyar (6 papers) published 1 paper at the last edition,
• Madeleine Gibescu (5 papers) absent at the last edition,
• Phuong H. Nguyen (5 papers) published 1 paper at the last edition the same number as at the previous edition,
• J.G. Slootweg (5 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Sustainable Energy, Grids and Networks (based on the number of publications) are:

• Islamic Azad University (22 papers) published 10 papers at the last edition, 2 more than at the previous edition,
• Eindhoven University of Technology (11 papers) published 1 paper at the last edition the same number as at the previous edition,
• Royal Institute of Technology (9 papers) published 1 paper at the last edition,
• Amirkabir University of Technology (9 papers) published 4 papers at the last edition the same number as at the previous edition,
• Katholieke Universiteit Leuven (8 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.22% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.97% of all publications and 60.16% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.