ISSN:
eISSN:
Disciplines
(Field of Science):
- architecture and urban planning (Engineering and Technology)
- chemical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- agriculture and horticulture (Agricultural sciences)
- security studies (Social studies)
- management and quality studies (Social studies)
- international relations (Social studies)
- biotechnology (Natural sciences)
- chemical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 100 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 100 | Ministry scored journals list 2024 |
2023 | 140 | Ministry Scored Journals List |
2022 | 100 | Ministry Scored Journals List 2019-2022 |
2021 | 100 | Ministry Scored Journals List 2019-2022 |
2020 | 100 | Ministry Scored Journals List 2019-2022 |
2019 | 100 | Ministry Scored Journals List 2019-2022 |
2018 | 25 | A |
2017 | 25 | A |
2015 | 25 | A |
2014 | 25 | A |
2013 | 25 | A |
2012 | 20 | A |
2011 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 8.1 |
Year | Points |
---|---|
2023 | 8.1 |
2022 | 7.6 |
2021 | 6.2 |
2020 | 5.5 |
2019 | 4.8 |
2018 | 4.9 |
2017 | 5.1 |
2016 | 4.7 |
2015 | 4.1 |
2014 | 3.2 |
2013 | 3.2 |
2012 | 2.7 |
2011 | 2 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
Year 2024
-
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublicationThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
Year 2023
-
Ground lemon and stevia leaves as renewable functional fillers with antioxidant activity for high-density polyethylene composites
PublicationThe development of new sustainable material solutions in the processing of thermoplastic polymers concerns both the application of biopolymers and the use of valorized plant derivatives as fillers and modifiers of petrochemical polymers. Herein, the possibility of using unprocessed raw parts of two commonly used in the food industry leaves, i.e., lemon (LL) and stevia (ST), as active and functional fillers for high-density polyethylene...
-
The assessment of solar photovoltaic in Poland: the photovoltaics potential, perspectives and development
PublicationThe following article explains the current condition of the photovoltaics sector both in Poland and worldwide. Recently, a rapid development of solar energy has been observed in Poland and is estimated that the country now has about 700,000 photovoltaics prosumers. In October 2021, the total photovoltaics power in Poland amounted to nearly 5.7 GW. The calculated technical potential of photovoltaics in Poland is 153.484 PJ (42.634...
Year 2018
-
Methodology for implementing power plant efficiency standards for power generation: potential emission reduction
PublicationSome methods of generating power such as power generation through coal, natural gas, oil result in inevitable emissions of greenhouse gases. While power generation is necessary due to its increasing demand, it is important for power companies to generate their power in an efcient manner to reduce its efect on the environment. One of the most efective ways of tackling inefciency issues is through the implementation of efciency standard....
seen 1227 times