Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
[HTML][HTML] Future of energy management systems in smart cities: A systematic literature review
Massive advancements have been noticed on the Internet of Things (IoT) integrating smart
Homes Energy Management Systems (HEMSs). In the literature, many reviews have been …
Homes Energy Management Systems (HEMSs). In the literature, many reviews have been …
[HTML][HTML] Influential factors to residential building Occupants' acceptance and adoption of smart energy technologies in Denmark
J Billanes, P Enevoldsen - Energy and Buildings, 2022 - Elsevier
Abstract Although Smart Energy Technologies (SETs) are proven effective in reducing
energy consumption and improving energy efficiency in buildings, adoption of these …
energy consumption and improving energy efficiency in buildings, adoption of these …
[HTML][HTML] A 3D indicator for guiding AI applications in the energy sector
Abstract The utilisation of Artificial Intelligence (AI) applications in the energy sector is
gaining momentum, with increasingly intensive search for suitable, high-quality and …
gaining momentum, with increasingly intensive search for suitable, high-quality and …
Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements
Electric vehicles (EVs) have become more popular to address transportation-related
environmental concerns. However, to integrate a massive fleet of EVs, it is crucial to properly …
environmental concerns. However, to integrate a massive fleet of EVs, it is crucial to properly …
Thematic analysis of sustainable ultra-precision machining by using text mining and unsupervised learning method
Sustainable manufacturing is one key research area to reduce environmental damages and
resource waste nowadays. As a cutting-edge manufacturing method, ultra-precision …
resource waste nowadays. As a cutting-edge manufacturing method, ultra-precision …
[HTML][HTML] Study on facility location of air taxi skyports using a prescriptive analytics approach
AA Sinha, S Rajendran - Transportation Research Interdisciplinary …, 2023 - Elsevier
The current study identifies infrastructure locations for air taxi operations in New York City
(NYC) using a prescriptive analytics approach. Based on the potential air taxi demand …
(NYC) using a prescriptive analytics approach. Based on the potential air taxi demand …
Optimal allocation of electric vehicles parking lots and optimal charging and discharging scheduling using hybrid metaheuristic algorithms
The issue of simultaneous planning of electric vehicles and distributed generation resources
has received more attention from energy researchers in recent years. Scattered renewable …
has received more attention from energy researchers in recent years. Scattered renewable …
Can battery electric vehicles meet sustainable energy demands? Systematically reviewing emissions, grid impacts, and coupling to renewable energy
JP Tuffour, R Ewing - Energy Research & Social Science, 2024 - Elsevier
As the adoption of battery electric vehicles (BEVs) surges into the spotlight of mainstream
transportation networks, their implications for achieving Sustainable Development Goal 13 …
transportation networks, their implications for achieving Sustainable Development Goal 13 …
Sustainable plug-in electric vehicle integration into power systems
Integrating plug-in electric vehicles (PEVs) into the power and transport sectors can help to
reduce global CO2 emissions. This synergy can be achieved with advances in battery …
reduce global CO2 emissions. This synergy can be achieved with advances in battery …