Modelling the energy consumption of electric vehicles under uncertain and small data conditions
This study models the energy consumption of electric vehicles (EVs) under uncertain and
small data conditions by combining the machine learning method and the idea of controlled …
small data conditions by combining the machine learning method and the idea of controlled …
Battery capacity trajectory prediction by capturing the correlation between different vehicles
Advances in battery technology and dwindling oil resources have greatly boosted the
popularity of electric vehicles (EVs). Accurate prediction of battery capacity trajectory is …
popularity of electric vehicles (EVs). Accurate prediction of battery capacity trajectory is …
Forecasting of individual electricity consumption using optimized gradient boosting regression with modified particle swarm optimization
LFM Sepulveda, PS Diniz, JOB Diniz, SMB Netto… - … Applications of Artificial …, 2021 - Elsevier
The task of forecasting consumers' energy consumption is currently a trend in energy supply
companies. An accurate prediction of energy consumption is a powerful tool to check for …
companies. An accurate prediction of energy consumption is a powerful tool to check for …
Electricity consumption prediction based on LSTM with attention mechanism
Z Lin, L Cheng, G Huang - IEEJ Transactions on Electrical and …, 2020 - Wiley Online Library
Power data analysis in power system, such as electricity consumption prediction, has always
been the basis for the power department to adjust electricity price, substation regulation …
been the basis for the power department to adjust electricity price, substation regulation …
A real-time vehicle speed prediction method based on a lightweight informer driven by big temporal data
At present, the design of modern vehicles requires improving driving performance while
meeting emission standards, leading to increasingly complex power systems. In …
meeting emission standards, leading to increasingly complex power systems. In …
Predicting residential energy consumption using CNN-LSTM neural networks
The rapid increase in human population and development in technology have sharply
raised power consumption in today's world. Since electricity is consumed simultaneously as …
raised power consumption in today's world. Since electricity is consumed simultaneously as …
Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles
The predictive energy management strategy (PEMS) offers potential advantages in
enhancing the driving economy of electrified vehicles using vehicle speed prediction …
enhancing the driving economy of electrified vehicles using vehicle speed prediction …
Receding horizon control based energy management strategy for PHEB using GRU deep learning predictive model
Y Du, N Cui, W Cui, Z Chen, C Zhang - ETransportation, 2022 - Elsevier
As an important method to achieve clean public transportation, plug-in hybrid electric bus
(PHEB) has been gradually utilized in the transport system. The energy consumption …
(PHEB) has been gradually utilized in the transport system. The energy consumption …
Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
Smart grids and smart homes are getting people's attention in the modern era of smart cities.
The advancements of smart technologies and smart grids have created challenges related …
The advancements of smart technologies and smart grids have created challenges related …
Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle
The energy management system of an electrified vehicle is one of the most important
supervisory control systems which manages the use of on-board energy resources. This …
supervisory control systems which manages the use of on-board energy resources. This …