Energy efficiency and sustainable growth in industrial sectors in European Union countries: A nonlinear ARDL approach
AC Marques, JA Fuinhas, C Tomás - Journal of Cleaner Production, 2019 - Elsevier
It can be said that economic growth, providing it ensures a clean and safe environment, is
one of the main objectives of many countries. With this in mind, an important question needs …
one of the main objectives of many countries. With this in mind, an important question needs …
[HTML][HTML] Sensitivity analysis of energy inputs in crop production using artificial neural networks
A Khoshroo, A Emrouznejad, A Ghaffarizadeh… - Journal of cleaner …, 2018 - Elsevier
Sensitivity analysis establishes priorities for research and allows to identify and rank the
most important factors which lead to great improvements in output factors. The aim of this …
most important factors which lead to great improvements in output factors. The aim of this …
Influence of macronutrients and micronutrients on maize hybrids for biogas production
M Grabovskyi, P Kucheruk, K Pavlichenko… - … Science and Pollution …, 2023 - Springer
Important in the cultivation of corn for biogas production is the selection of appropriate
hybrids, macro-and micronutrient dozing and the evaluation of energy and economic …
hybrids, macro-and micronutrient dozing and the evaluation of energy and economic …
Energy efficiency of maize production technology: Evidence from Polish farms
The purpose of this work is to determine the impact of selected silage maize cultivation
technologies, including energy inputs in the production chain (cultivation, harvesting, heap …
technologies, including energy inputs in the production chain (cultivation, harvesting, heap …
[HTML][HTML] Dynamic change of agricultural energy efficiency and its influencing factors in China
H Li, L Luo, X Zhang, J Zhang - Chinese Journal of Population, Resources …, 2021 - Elsevier
In order to practice the concept of 'lucid waters and lush mountains are invaluable assets'
and promote the green development of agriculture, it is necessary to improve the efficiency …
and promote the green development of agriculture, it is necessary to improve the efficiency …
[HTML][HTML] Combined application of the EM-DEA and EX-ACT approaches for integrated assessment of resource use efficiency, sustainability and carbon footprint of …
The goal to improve food security in sub-Saharan Africa (SSA) through domestic, resource
efficient and low carbon agriculture is importance. Interventions to produce more food could …
efficient and low carbon agriculture is importance. Interventions to produce more food could …
Energy audit of Iranian kiwifruit production using intelligent systems
Optimizing the energy flows of agricultural production is a concern in order to find the most
appropriate mix of agricultural inputs, which would in turn minimize energy consumption and …
appropriate mix of agricultural inputs, which would in turn minimize energy consumption and …
Artificial neural network model to forecast energy consumption in wheat production in india
K Kaur - Journal of Statistical Theory and Applications, 2023 - Springer
Energy analysis in agriculture sector require modelling technique that can incorporate
complex unknown interactions and non-linearity in systems. In this study Artificial neural …
complex unknown interactions and non-linearity in systems. In this study Artificial neural …
Relative importance of factors influencing building energy in urban environment
Energy assessment of urban buildings has become an active research field due to a large
amount of energy consumed in cities as a result of fast urbanization. Hence, it is necessary …
amount of energy consumed in cities as a result of fast urbanization. Hence, it is necessary …
Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows
There are some studies regarding the prediction of agricultural energy flows using artificial
neural networks (ANNs). These models are quite sensitive to correlations amongst inputs …
neural networks (ANNs). These models are quite sensitive to correlations amongst inputs …