A novel method for assessment rooftop PV potential based on remote sensing images
The assessment of rooftop photovoltaic (PV) potential is highly significant for energy policy
formulation. With the rapid development of computer vision (CV) and remote sensing …
formulation. With the rapid development of computer vision (CV) and remote sensing …
Self-supervised learning method for consumer-level behind-the-meter PV estimation
Driven by cost reduction and sustainable policies, the penetration of distributed photovoltaic
(PV) systems has deepened in recent years. Most of these PV systems are installed behind …
(PV) systems has deepened in recent years. Most of these PV systems are installed behind …
A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies
Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV)
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …
[HTML][HTML] Quantifying spatio-temporal carbon intensity within a city using large-scale smart meter data: Unveiling the impact of behind-the-meter generation
This study introduces a novel method for calculating spatio-temporal carbon intensity
variations within a city using smart meter data. By integrating smart meter data with solar …
variations within a city using smart meter data. By integrating smart meter data with solar …
Innovative liquid cooling channel enhanced battery thermal management (BTM) structure based on stepwise optimization method
C Wu, X Yuan, B Kong, Y Zou, H Shi - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries have garnered significant attention in the field of new energy
technology due to their impressive high energy density characteristics. The lightweight and …
technology due to their impressive high energy density characteristics. The lightweight and …
Unsupervised disaggregation of aggregated net load considering behind-the-meter PV based on virtual PV sample construction
Most of the distributed photovoltaics (PV) are installed behind the meter (BTM), single-meter
deployments permit distribution system operators to monitor only the net load and exclude …
deployments permit distribution system operators to monitor only the net load and exclude …
A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-The-Meter Disaggregated Data
Recently, distributed photovoltaic (PV) generation has increased significantly, leading to a
high penetration of behind-the-meter (BTM) solar generation systems. In this work, we aim to …
high penetration of behind-the-meter (BTM) solar generation systems. In this work, we aim to …
Deep recurrent extreme learning machine for behind-the-meter photovoltaic disaggregation
In recent years, sustainable sources of energies attract significant interest due to the serious
environmental issues of fossil fuels. Rooftop photovoltaic (PV) panels are among the …
environmental issues of fossil fuels. Rooftop photovoltaic (PV) panels are among the …
Multi-agent voltage control in distribution systems using GAN-DRL-based approach
Active distribution grids can experience voltage fluctuations and violations due to the high
penetration of variable distributed energy resources (DERs). These problems might occur …
penetration of variable distributed energy resources (DERs). These problems might occur …
Deep Factorization Machine Learning for Disaggregation of Transmission Load Profiles With High Penetration of Behind-the-Meter Solar
The ever-growing integration of distributed energy resources (DERs), especially behind-the-
meter (BTM) solar generations, poses imperative operational challenges to system …
meter (BTM) solar generations, poses imperative operational challenges to system …