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A hybrid electric vehicle load classification and forecasting approach based on GBDT algorithm and temporal convolutional network
Due to the participation of large-scale electric vehicles (EVs) in Vehicle-to-Grid (V2G)
services, V2G dispatch centers need to predict the charging and discharging (C&D) loads of …
services, V2G dispatch centers need to predict the charging and discharging (C&D) loads of …
[HTML][HTML] Smart optimization in battery energy storage systems: An overview
The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …
from renewable energy sources (RESs). The rising share of RESs in power generation …
[HTML][HTML] Optimal EV scheduling and voltage security via an online bi-layer steady-state assessment method considering uncertainties
Steady-state voltage security region (SVSR) is an important criterion that can intuitively and
effectively evaluate the power system's operation security and overall safety margin …
effectively evaluate the power system's operation security and overall safety margin …
[HTML][HTML] Transactive control of community batteries for voltage regulation in distribution systems
With the proliferation of renewable energy sources in distribution systems, the grid operators
are posed with the challenge of voltage regulation. Community batteries have significant …
are posed with the challenge of voltage regulation. Community batteries have significant …
Optimization of virtual energy hub with hybrid vehicles in power-transportation networks towards a low-carbon sustainable transition: A probabilistic regret adjustment
G Lin, B Qi, C Ma - Sustainable Cities and Society, 2025 - Elsevier
Transportation is one of the main fields that leads to environmental issues from emission
perspective. In the transition to a sustainable future, hybrid vehicles are an essential part of …
perspective. In the transition to a sustainable future, hybrid vehicles are an essential part of …
Sustaining power distribution network submerged in plug-in hybrid CNG-electric vehicles for future green transportation: A risk-constrained analysis
A Yao, J Wu - Sustainable Cities and Society, 2024 - Elsevier
The urgent need to address environmental issues, particularly the reduction of greenhouse
gas emissions, has become a global priority. In this pursuit, various technologies are being …
gas emissions, has become a global priority. In this pursuit, various technologies are being …
[HTML][HTML] Hybrid learning algorithm with pairwise scatter plotting features for utility-scale energy systems
Dispatch strategies of utility-scale photovoltaic (PV) battery systems have mostly relied on
model-based approaches with forecasting generations and demands, due to their …
model-based approaches with forecasting generations and demands, due to their …
Control and Hardware-in-the-Loop Simulation of Community Energy Storage Systems Based on Repurposed Electric Vehicle Batteries
The increasing availability of used Electric Vehicle Batteries (EVBs), as well as the
environmental concerns associated with their disposal, have led to increased interest in …
environmental concerns associated with their disposal, have led to increased interest in …
[HTML][HTML] A Predictive Model Using Long Short-Time Memory (LSTM) Technique for Power System Voltage Stability
The stability of the operation of the power system is essential to ensure a continuous supply
of electricity to meet the load of the system. In the operational process, voltage stability (VS) …
of electricity to meet the load of the system. In the operational process, voltage stability (VS) …
Scalable Charging Optimization of Battery Energy Storage Systems with Deep Reinforcement Learning
This paper presents a scalable data-driven methodology that leverages deep reinforcement
learning (DRL) to optimize the charging of battery units within smart energy storage systems …
learning (DRL) to optimize the charging of battery units within smart energy storage systems …