Short-term load forecasting model of electric vehicle charging load based on MCCNN-TCN
J Zhang, C Liu, L Ge - Energies, 2022 - mdpi.com
The large fluctuations in charging loads of electric vehicles (EVs) make short-term
forecasting challenging. In order to improve the short-term load forecasting performance of …
forecasting challenging. In order to improve the short-term load forecasting performance of …
Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy
Internal Combustion Engine based transportation rapidly increases the impact on the
environment. The burning of fossil fuels in the industries and transportation sector breadth of …
environment. The burning of fossil fuels in the industries and transportation sector breadth of …
Short-term load forecasting for electric vehicle charging station based on niche immunity lion algorithm and convolutional neural network
Y Li, Y Huang, M Zhang - Energies, 2018 - mdpi.com
Accurate and stable prediction of short-term load for electric vehicle charging stations is of
great significance in ensuring economical and safe operation of electric vehicle charging …
great significance in ensuring economical and safe operation of electric vehicle charging …
Mid-and long-term strategy based on electric vehicle charging unpredictability and ownership estimation
Predicting the charging load of electric vehicles (EVs) is critical for the safe and reliable
operation of the distribution network. Analyzing an EV's random charging characteristics and …
operation of the distribution network. Analyzing an EV's random charging characteristics and …
Analysis of the Reduction of CO2 Emissions in Urban Environments by Replacing Conventional City Buses by Electric Bus Fleets: Spain Case Study
ER Grijalva, JM López Martínez - Energies, 2019 - mdpi.com
The emissions of CO2 gas caused by transport in urban areas are increasingly serious, and
the public transport sector plays a vital role in society, especially when considering the …
the public transport sector plays a vital role in society, especially when considering the …
Fuel-Economy Performance Analysis with Exhaust Heat Recovery System on Gasoline Engine
As the electrification and connectivity technologies penetrate the market, the opportunities
for intelligent thermal management of the vehicles become more salient. When an exhaust …
for intelligent thermal management of the vehicles become more salient. When an exhaust …
Performance comparison of deep learning approaches in predicting EV charging demand
Electric vehicles (EVs) contribute to reducing fossil fuel dependence and environmental
pollution problems. However, due to complex charging behaviors and the high demand for …
pollution problems. However, due to complex charging behaviors and the high demand for …
Energy Management Systems' Modeling and Optimization in Hybrid Electric Vehicles
YE Altun, OA Kutlar - Energies, 2024 - mdpi.com
Optimization studies for the energy management systems of hybrid electric powertrains have
critical importance as an effective measure for vehicle manufacturers to reduce greenhouse …
critical importance as an effective measure for vehicle manufacturers to reduce greenhouse …
Hybrid electric powertrain with fuel cells for a series vehicle
Recent environmental and climate change issues make it imperative to persistently
approach research into the development of technologies designed to ensure the …
approach research into the development of technologies designed to ensure the …
Comparison of different layouts for the integration of an organic Rankine cycle unit in electrified powertrains of heavy duty Diesel trucks
M Villani, L Tribioli - Energy Conversion and Management, 2019 - Elsevier
In the last years an increasing interest has grown about the organic Rankine cycle (ORC) for
waste heat recovery from the engine exhausts, as a feasible way to improve the efficiency of …
waste heat recovery from the engine exhausts, as a feasible way to improve the efficiency of …