[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption
Sustainability policies to mitigate transportation energy impacts on the urban environment
are urgently needed. Energy prediction models provide critical information to decision …
are urgently needed. Energy prediction models provide critical information to decision …
Prediction of transportation energy demand by novel hybrid meta-heuristic ANN
Road automobiles are deemed one of the major resources of energy consumption
throughout cities. To realize and design sustainable urban transport, it is essential to …
throughout cities. To realize and design sustainable urban transport, it is essential to …
Mitigating CO2 emissions in African transport networks under various policies and scenarios of Paris Agreement compliance
MI Shammas - International Journal of Sustainable Energy, 2024 - Taylor & Francis
This study analyzed the trajectory of CO2 emissions in the African transportation sector
under four different policy scenarios: no policy, low policy, the Paris Agreement with …
under four different policy scenarios: no policy, low policy, the Paris Agreement with …
A review on the applicability of machine learning techniques to the metamodeling of energy systems
The use of physics-based models for the development and optimization of energy systems is
popular due to their versatility. However, their inherent complexity often makes these …
popular due to their versatility. However, their inherent complexity often makes these …
[HTML][HTML] Artificial intelligence and policy making; can small municipalities enable digital transformation?
This study investigates digital transformation and the usability of emerging technologies in
policymaking. Prior studies categorised digital transformation into three distinct phases of …
policymaking. Prior studies categorised digital transformation into three distinct phases of …
How do machines predict energy use? Comparing machine learning approaches for modeling household energy demand in the United States
This paper illustrates the use of different machine learning techniques to estimate household
energy demand. To demonstrate the performance of the techniques, we discuss how the …
energy demand. To demonstrate the performance of the techniques, we discuss how the …
Energy use forecasting with the use of a nested structure based on fuzzy cognitive maps and artificial neural networks
The aim of this paper is to present a novel approach to energy use forecasting. We propose
a nested fuzzy cognitive map in which each concept at a higher level can be decomposed …
a nested fuzzy cognitive map in which each concept at a higher level can be decomposed …
SA-LSTMs: A new advance prediction method of energy consumption in cement raw materials grinding system
G Liu, K Wang, X Hao, Z Zhang, Y Zhao, Q Xu - Energy, 2022 - Elsevier
Electricity consumption is a major energy efficiency indicator in cement raw materials
grinding system. Advance prediction of electricity consumption provides the basis for cement …
grinding system. Advance prediction of electricity consumption provides the basis for cement …
Assessing the factors affecting the perceived crossing speed of pedestrians and investigating the direct and indirect effects of crash risk perception on perceived …
A Saxena - Journal of Transport & Health, 2023 - Elsevier
Walking is the primary means of transportation. For assessing individual's health, travel
behaviour and benchmarking service levels of pedestrian infrastructure, walking/crossing …
behaviour and benchmarking service levels of pedestrian infrastructure, walking/crossing …