Short-term wind speed forecasting using recurrent neural networks with error correction

J Duan, H Zuo, Y Bai, J Duan, M Chang, B Chen - Energy, 2021 - Elsevier
As a type of clean energy, wind energy has been effectively used in power systems.
However, due to the influence of the atmospheric boundary layer, wind speed exhibits …

Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption

R Deng, R Lu, C Lai, TH Luan… - IEEE internet of things …, 2016 - ieeexplore.ieee.org
Mobile users typically have high demand on localized and location-based information
services. To always retrieve the localized data from the remote cloud, however, tends to be …

Optimal scheduling of battery charging station serving electric vehicles based on battery swapping

X Tan, G Qu, B Sun, N Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A battery charging station (BCS) is a charging facility that supplies electric energy for
recharging electric vehicles' depleted batteries (DBs). A BCS has a certain number of …

Cooperative optimal scheduling strategy of electric vehicles based on dynamic electricity price mechanism

WJ Yin, T Wen, C Zhang - Energy, 2023 - Elsevier
Large-scale disordered charging of electric vehicles will lead to problems such as voltage
drop, increased network loss, and reduced life of transformers. In order to fully tap the …

Optimal cooperative charging strategy for a smart charging station of electric vehicles

P You, Z Yang, MY Chow, Y Sun - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
This paper proposes a novel cooperative charging strategy for a smart charging station in
the dynamic electricity pricing environment, which helps electric vehicles (EVs) to …

Scheduling strategy of electric vehicle charging considering different requirements of grid and users

WJ Yin, ZF Ming, T Wen - Energy, 2021 - Elsevier
With the increasing penetration of electric vehicles (EVs) that has enormous scheduling
potentials, if it can fully tap its dispatching potential, it can help the power grid improve …

Electric vehicle charging and discharging scheduling strategy based on local search and competitive learning particle swarm optimization algorithm

WJ Yin, ZF Ming - Journal of Energy Storage, 2021 - Elsevier
It is great significance for environmental protection, energy conservation and emission
reduction to replace fuel vehicles with EVs (electric vehicles). However, as a kind of random …

A novel on energy management strategy with maximum exploitation of renewables and EV storage in distribution networks

KR Reddy, CHH Basha, V Prashanth… - … on Electrical Energy …, 2023 - Wiley Online Library
Electric vehicles (EVs) are widely recognized for their environmentally friendly attributes and
superior performance. They offer considerable potential for managing energy in low‐voltage …

Optimal charging schedule for a battery switching station serving electric buses

P You, Z Yang, Y Zhang, SH Low… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We propose a model of a battery switching station (BSS) for electric buses (EBs) that
captures the predictability of bus operation. We schedule battery charging in the BSS so that …

Optimal dispatching of large-scale electric vehicles into grid based on improved second-order cone

WJ Yin, X Qin, ZZ Huang - Energy, 2022 - Elsevier
The disordered charging behavior of large-scale electric vehicles will have an
immeasurable impact on the distribution grid. How to simultaneously solve the demand for …