Veronika Smejkalová

Dr. Veronika Smejkalová

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
RŠRadovan Šomplák
Radovan Šomplák
Jakub KůdelaJakub Kůdela
Jakub Kůdela
VSVeronika Smejkalová
Veronika Smejkalová
VNVlastimír Nevrlý
Vlastimír Nevrlý
MPMartin PAVLAS
Martin PAVLAS
DHDušan Hrabec
Dušan Hrabec

1 September 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Jakub KůdelaJakub Kůdela
Jakub Kůdela
RŠRadovan Šomplák
Radovan Šomplák
VNVlastimír Nevrlý
Vlastimír Nevrlý
TLTomáš Lipovský
Tomáš Lipovský
VSVeronika Smejkalová
Veronika Smejkalová
LDLadislav Dobrovský
Ladislav Dobrovský

1 September 2017 in Journal of Cleaner Production
Verified
Journal Article
Closed access
MPMartin PAVLAS
Martin PAVLAS
RŠRadovan Šomplák
Radovan Šomplák
VSVeronika Smejkalová
Veronika Smejkalová
VNVlastimír Nevrlý
Vlastimír Nevrlý
LZLenka Zavíralová
Lenka Zavíralová
PPPavel Popela
Pavel Popela

31 July 2019 in Waste and Biomass Valorization
Verified
Journal Article
Closed access
PDF file
MPMartin PAVLAS
Martin PAVLAS
RŠR. Šomplák
R. Šomplák
VSVeronika Smejkalová
Veronika Smejkalová
PSP. Stehlík
P. Stehlík

10 February 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
Radovan ŠomplákRadovan Šomplák
Radovan Šomplák
VSVeronika Smejkalová
Veronika Smejkalová
MRMartin Rosecký
Martin Rosecký
LSLenka Szásziová
Lenka Szásziová
Vlastimir NevrlyVlastimir Nevrly
Vlastimir Nevrly
MPMartin PAVLAS
Martin PAVLAS
Strategic plans for waste management require information on the current and future waste generation as a primary data source. Over the years, various approaches and methods for waste generation modeling have been presented and applied. This review provides a summary of the tasks that require information on waste generation that are most frequently handled in waste management. It is hypothesized that there is not currently a modeling approach universally suitable for forecasting any fraction of waste. It is also hypothesized that most models do not allow for modeling different scenarios of future development. Almost 360 publications were examined in detail, and all of the tracked attributes are included in the supplementary. A general step-by-step guide to waste generation forecasting, comprising data preparation, pre-processing, processing, and post-processing, was proposed. The problems that occurred in the individual steps were specified, and the authors’ recommendations for their solution were provided. A forecasting approach based on a short time series is presented, due to insufficient options of approaches for this problem. An approach is presented for creating projections of waste generation depending on the expected system changes. Researchers and stakeholders can use this document as a supporting material when deciding on a suitable approach to waste generation modeling or waste management plans.

1 August 2019 in Energy
Verified
Journal Article
Closed access
Radovan ŠomplákRadovan Šomplák
Radovan Šomplák
Vlastimir NevrlyVlastimir Nevrly
Vlastimir Nevrly
VSVeronika Smejkalová
Veronika Smejkalová
ZŠZlata Šmídová
Zlata Šmídová
MPMartin PAVLAS
Martin PAVLAS