Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Lassi Linnanen"'
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
IntroductionThe reliance on fossil inputs of agricultural practices has led to maximizing yields and profitability, even at the expense of environmental sustainability. Implementing circular waste management solutions could help align the economic an
Externí odkaz:
https://doaj.org/article/ecf4d3c2080b48f4a84caef213f12e43
Autor:
Ilkka Ratinen, Lassi Linnanen
Publikováno v:
World, Vol 3, Iss 2, Pp 287-298 (2022)
Systems thinking competence is one of the key sustainability competences to make the future more sustainable by focusing on individuals’ capability to analyse sustainability problems across different sectors and scales. The other competencies to fo
Externí odkaz:
https://doaj.org/article/927c67c29dec4e1fa0d5946141dc46a0
Autor:
Ilkka Ratinen, Lassi Linnanen
Publikováno v:
Frontiers in Education, Vol 7 (2022)
Knowledge of people’s abilities must be adapted to a new, sustainable society. Through sustainability competences, the necessary changes in people’s behavior in the pursuit of a sustainable society can be intensified. In this study, Finns (n = 20
Externí odkaz:
https://doaj.org/article/51850a016d9d4ec599b6d80afe100525
Publikováno v:
Environmental Research Letters, Vol 16, Iss 5, p 054069 (2021)
The implementation of circular economy (CE) thinking to reduce environmental impacts and resource use has led to the development of innovative recycling technologies and business models. The implications of these technologies and models, however, rem
Externí odkaz:
https://doaj.org/article/e2d66f9c47ef4b99953bbbb62343db96
Publikováno v:
Energies, Vol 13, Iss 23, p 6259 (2020)
This paper contributes to the state of the art of applications of artificial intelligence (AI) in energy systems with a focus on the phenomenon of social acceptance of energy projects. The aim of the paper is to present a novel AI-powered communicati
Externí odkaz:
https://doaj.org/article/e9d8d77a82194586b1d41fcef8ed0229
Publikováno v:
Journal of Sustainable Development of Energy, Water and Environment Systems, Vol 2, Iss 2, Pp 174-190 (2014)
In this paper we built three types of artificial neural networks, namely: Feed forward networks, Elman networks and Cascade forward networks, for forecasting wind speeds and directions. A similar network topology was used for all the forecast horizon
Externí odkaz:
https://doaj.org/article/50155b1443ec4c4ea36197595abb9b8a
Publikováno v:
Environmental Research Letters, Vol 10, Iss 10, p 104013 (2015)
Anthropogenic nutrient flows exceed the planetary boundaries. The boundaries and the current excesses vary spatially. Such variations have both an ecological and a social facet. We explored the spatial variation using a bottom-up approach. The local
Externí odkaz:
https://doaj.org/article/bf58b3475a9c46e0b74a39ef74e85b8b
Autor:
Jukka, Luhas, Miika, Marttila, Lauri, Leppäkoski, Mirja, Mikkilä, Ville, Uusitalo, Lassi, Linnanen
Publikováno v:
In Biomass and Bioenergy August 2022 163
Publikováno v:
Circular Economy and Sustainability; 20240101, Issue: Preprints p1-25, 25p
