Crossing roads of federated learning and smart grids: Overview, challenges, and perspectives
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy
data, particularly when used to train machine learning models for different services. These …
data, particularly when used to train machine learning models for different services. These …
Non-Intrusive Load Monitoring for Feeder-Level EV Charging Detection: Sliding Window-Based Approaches to Offline and Online Detection
Understanding electric vehicle (EV) charging on the distribution network is key to effective
EV charging management and aiding decarbonization across the energy and transport …
EV charging management and aiding decarbonization across the energy and transport …
EV-Assisted Computing for Energy Cost Saving at Edge Data Centers
Geo-distributed edge data centers (EDCs) are expected to handle a large portion of tasks
offloaded from cloud data centers for various emerging edge services. However, the high …
offloaded from cloud data centers for various emerging edge services. However, the high …
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
Predicting electric vehicle (EV) charging events is crucial for load scheduling and energy
management, promoting seamless transportation electrification and decarbonization. While …
management, promoting seamless transportation electrification and decarbonization. While …
NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives
Due to its impact on household energy use and the adoption of renewable energies, the
intelligent management of the power consumption of electric vehicles (EVs) is of great …
intelligent management of the power consumption of electric vehicles (EVs) is of great …
Behind-the-Meter Disaggregation of Residential Electric Vehicle Charging Load
With the rapidly evolving penetration of electric vehicles (EVs) in power distribution systems,
a major issue that utilities face is the lack of visibility into the charging behaviors of the …
a major issue that utilities face is the lack of visibility into the charging behaviors of the …
RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model
This paper introduces a novel residual-based model to identify households with Battery
Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy …
Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy …