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[HTML][HTML] Electrified heat and transport: Energy demand futures, their impacts on power networks and what it means for system flexibility
Demand electrification, system flexibility and energy demand reduction (EDR) are three
central tenets of most energy system decarbonisation pathways in the UK and other high …
central tenets of most energy system decarbonisation pathways in the UK and other high …
Prediction model of car ownership based on back propagation neural network optimized by particle swarm optimization
H Zhang, Y Li, L Yan - Sustainability, 2023 - mdpi.com
Aiming to address the problems of traditional BP neural networks, which include their slow
convergence speed and low accuracy, a vehicle ownership prediction model based on a BP …
convergence speed and low accuracy, a vehicle ownership prediction model based on a BP …
Spatial models and neural network for identifying sustainable transportation projects with study case in querétaro, an intermediate Mexican city
The construction of urban and transport indicators aims for a better diagnosis that enables
technical and precise decision-making for the public administration or private investment …
technical and precise decision-making for the public administration or private investment …
Open data for modelling the impacts of electric vehicles on UK distribution networks: Opportunities for a digital spine
This paper provides a detailed overview of the current snapshot of available open data for
modelling the impacts of electric vehicles (EVs) on the UK distribution network, highlighting …
modelling the impacts of electric vehicles (EVs) on the UK distribution network, highlighting …
An Augmented Approach to Vehicle-Type Classification using Deep Transfer Learning Approaches with adam Optimizer
M Thakur, J Kaur, A Sharma - 2024 11th International …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) for an Internet of Things (IoT) Smart City are
primarily concerned with enhancing the safety, efficiency via information and communication …
primarily concerned with enhancing the safety, efficiency via information and communication …
Understanding the Determinants of Car Ownership: A Regression and Neural Network Study
O Kindvall, V Pettersson - 2023 - diva-portal.org
This thesis aims to understand the determinants of car ownership in the Swedish regions
containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by …
containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by …
[PDF][PDF] Car fleet synthesis for agent-based mobility models: a comparison of machine learning and discrete choice methods
• Ridge classifer slightly outperforms linear discriminant and logistic regression• F1-score is
closer to 1 than to 0 for most classifiers, indicating a quite satisfying prediction• Cohen's …
closer to 1 than to 0 for most classifiers, indicating a quite satisfying prediction• Cohen's …
[CITATION][C] Auswirkung von Fahrzeugautomatisierung auf den Pkw-Bestand: eine Prognose anhand eines Pkw-Verfügbarkeitsmodells
M Schrömbges - Dissertation, Rheinisch-Westfälische …