Household standards and socio-economic aspects as a factor determining energy consumption in the city, 2020, Maria Mrówczyńska , Marta Skiba , Anna Bazan-Krzywoszańska , Małgorzata Sztubecka , Applied Energy, Vol. 264, 1--15, ISSN: 0306-2619, bibliogr. rys. tab. summ.
Słowa kluczowe: Energy efficiency strategies (EES), Geographic information systems (GIS), Household standards, Radial neural networks, Renewable energy source (RES), Urban city structure
Kod: CZR-JCR BibTeX (pkt. 200) DOI: 10.1016/j.apenergy.2020.114680

Open Access: Licence: CC-BY, Article mode: OPEN_JOURNAL, Release time: AFTER_PUBLICATION, Text version: FINAL_PUBLISHED, Date of publication: 25-02-2020

Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: The town of Zielona Góra, 2017, Marta Skiba , Maria Mrówczyńska , Anna Bazan-Krzywoszańska , Applied Energy, Vol. 188, 356--366, ISSN: 0306-2619, bibliogr. rys. tab. summ.
Słowa kluczowe: energy efficiency increase in housing, energy poverty, multi-layer neural networks, radial neural networks, space policy, urban energy policy
Kod: CZR-JCR BibTeX (pkt. 45) DOI: 10.1016/j.apenergy.2016.12.006

The estimation of energy efficiency for hybrid refrigeration system, 2013, Wiesław Gazda , Joachim Kozioł , Applied Energy, Vol. 101, 49--57, ISSN: 0306-2619, bibliogr. rys. tab. wykr. summ.
Słowa kluczowe: Air blast-cryogenic freezing, Coefficients of performance, Hybrid refrigeration system, Primary energy ratio
Kod: CZR-JCR BibTeX (pkt. 45) DOI: 10.1016/j.apenergy.2012.05.006