Multi-period charging infrastructure planning under uncertainty: Challenges and opportunities
Long-term charging infrastructure planning is imperative to sustain the rapid adoption of
electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of …
electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of …
Routing and scheduling of mobile power sources for distribution system resilience enhancement
Mobile power sources (MPSs), including electric vehicle fleets, truck-mounted mobile energy
storage systems, and mobile emergency generators, have great potential to enhance …
storage systems, and mobile emergency generators, have great potential to enhance …
Photovoltaic power forecasting with a hybrid deep learning approach
G Li, S Xie, B Wang, J Xin, Y Li, S Du - IEEE access, 2020 - ieeexplore.ieee.org
Solar energy is the key to clean energy, which can generate large amounts of electricity for
the future smart grid. Unfortunately, the randomness and intermittency of solar energy …
the future smart grid. Unfortunately, the randomness and intermittency of solar energy …
Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network
The penetration of photovoltaic (PV) energy into modern electric power and energy systems
has been gradually increased in recent years due to its benefits of being abundant …
has been gradually increased in recent years due to its benefits of being abundant …
Deep-learning-based probabilistic forecasting of electric vehicle charging load with a novel queuing model
X Zhang, KW Chan, H Li, H Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the emerging electric vehicle (EV) and fast charging technologies, EV load forecasting
has become a concern for planners and operators of EV charging stations (CSs). Due to the …
has become a concern for planners and operators of EV charging stations (CSs). Due to the …
Recurrent neural networks based photovoltaic power forecasting approach
The intermittency of solar energy resources has brought a big challenge for the optimization
and planning of a future smart grid. To reduce the intermittency, an accurate prediction of …
and planning of a future smart grid. To reduce the intermittency, an accurate prediction of …
Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
G Fu - Energy, 2018 - Elsevier
Due to the high energy consumption in buildings, cooling load forecasting plays a crucial
role in the planning, control and operation of heating, ventilating and air-conditioning …
role in the planning, control and operation of heating, ventilating and air-conditioning …
Collaborative planning of regional integrated energy system in the era of EV penetration: A comprehensive review
Q Yang, Y Ruan, F Qian, H Meng, Y Yao, T Xu… - Sustainable Cities and …, 2024 - Elsevier
The widespread adoption of electric vehicles (EVs) significantly increases the uncertainty
and complexity of regional integrated energy system (RIES), leading to substantial changes …
and complexity of regional integrated energy system (RIES), leading to substantial changes …
Electric vehicle charging station planning with dynamic prediction of elastic charging demand: A hybrid particle swarm optimization algorithm
This paper is concerned with the electric vehicle (EV) charging station planning problem
based on the dynamic charging demand. Considering the dynamic charging behavior of EV …
based on the dynamic charging demand. Considering the dynamic charging behavior of EV …
Economic planning approach for electric vehicle charging stations integrating traffic and power grid constraints
X Huang, J Chen, H Yang, Y Cao… - IET generation …, 2018 - Wiley Online Library
Large‐scale electric vehicle (EV) charging will bring new challenges to coordination of grid
and transportation. To facilitate large‐scale EV applications, optimal locating and sizing of …
and transportation. To facilitate large‐scale EV applications, optimal locating and sizing of …