Statistical Applications and Data Analysis for Sustainable Development
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 3771
Special Issue Editors
Interests: data analysis; multivariate statistics; spatio-temporal processes; sampling design; entropy
Interests: wind energy; PV power plants; energy efficiency; renewable energy source integration into power systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainability is running a Special Issue on the topic “Statistical Applications and Data Analysis for Sustainable Development”. In the context of energy transition, the integration of renewables into different sectors has become a relevant topic of interest in recent years. According to the United Nations, new and traditional data sources are also being integrated to produce high-quality, detailed, timely, and relevant information to foster and monitor sustainable development. Under this framework, alternative statistical applications and relevant data analysis are crucial to provide new studies for future power systems and sustainable development scenarios, where the presence of renewables is required by all sectors. In addition, an important variety of statistical analysis tools and data mining approaches are currently available, supported by significant research communities and addressing a broad area of analysis, algorithms, statistical approaches, and practical applications.
Topics of interest for this Issue include but are not limited to the following areas:
- Indicators for sustainable development;
- Statistical machine learning methods for sustainable development;
- Reliability studies toward sustainable development scenarios;
- Review/overview of sustainability assessment methodologies and statistics;
- Sensitivity analysis techniques for sustainable development;
- Monitoring/data analysis and case studies;
- New trends in statistics analysis and data mining for sustainable development;
- Statistical analysis for sustainable renewable energy development.
Dr. María C. Bueso
Prof. Dr. Ángel Molina-García
Guest Editors
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. Sustainability 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 2400 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 analysis
- data measurement
- data types
- data collection
- machine learning
- statistical analysis and methods
- sustainable development
