Data Science for Environment Sustainability
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 675
Special Issue Editors
Interests: power curve models; simulation of wind turbines; wind farm layout optimization; wind power models; wind power distributions; wind speed data analysis; wind speed simulation
Special Issues, Collections and Topics in MDPI journals
Interests: time series analysis; data science; renewable energy; energy market scheduling; imputation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, major topics discussed in the area of environmental sustainability have included the harvesting of renewable resources, the depletion of non-renewable resources, water resource management, efficient electricity market scheduling, and the creation of pollution. Recent advancements in data analysis techniques and methodologies along with the development of higher-level computational infrastructures have presented many new dimensions through which to observe patterns and provide more effective solutions. For this Special Issue of Information on “Data Science for Environmental Sustainability”, we invite authors to submit articles on, but not limited to, the following topics: data-analysis-driven analysis, policies, and case studies of environmental parameters such as renewable energy, air and water pollution, and water leakage management; enhancement of data analysis techniques such as predictions, time series forecasting, data imputations, optimization methodologies, and their applications in environmental sustainability; data collection, data cleaning, and novel visualization techniques; and data analysis tools, software, and packages for use in environmental sustainability.
Prof. Dr. Andrés Elías Feijóo Lorenzo
Dr. Neeraj Dhanraj Bokde
Guest Editors
Manuscript Submission Information
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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. Information is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- environment
- energy
- energy markets
- pollution
- wind energy
- solar energy
- renewable energy generation
- time series analysis
- data mining
- water resource management
- software tools
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