Massively digitized power grid: opportunities and challenges of use-inspired AI
This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …
massively digitized power grid. It argues that the intricate interplay of data availability …
Toward intelligent demand-side energy management via substation-level flexible load disaggregation
A Gao, J Zheng, F Mei, Y Liu - Applied Energy, 2024 - Elsevier
Non-intrusive load monitoring is a prominent part of demand-side energy management that
provides visibility of flexible loads to support real-time electricity market pricing strategies …
provides visibility of flexible loads to support real-time electricity market pricing strategies …
Net load forecasting with disaggregated behind-the-meter PV generation
As worldwide use of residential photovoltaic (PV) systems grows, system operators and
utilities will need to transition from forecasting pure demand to forecasting net load with …
utilities will need to transition from forecasting pure demand to forecasting net load with …
An integrated situational awareness tool for resilience-driven restoration with sustainable energy resources
Integrating sustainable energy resources transforms the distribution grid into an active
system with higher variations observed in load and generation. Estimating distributed …
system with higher variations observed in load and generation. Estimating distributed …
Distribution System Behind-the-Meter DERs: Estimation, Uncertainty Quantification, and Control
This paper summarizes the three-year technical activities of the IEEE Task Force (TF) on
behind-the-meter (BTM) distributed energy resources (DERs): estimation, uncertainty …
behind-the-meter (BTM) distributed energy resources (DERs): estimation, uncertainty …
Substation-Level Flexible Load Disaggregation Based on Hierarchical Federated Perception Algorithm
A Gao, J Zheng, F Mei, Y Liu - IEEE Transactions on Smart Grid, 2024 - ieeexplore.ieee.org
Precise estimation of flexible loads with different elasticity characteristics from the substation
scale is crucial for demand-side management, especially considering the facility cost and …
scale is crucial for demand-side management, especially considering the facility cost and …
Semi-Supervised, Non-Intrusive Disaggregation of Nodal Load Profiles With Significant Behind-the-Meter Solar Generation
It is of imperative interests for regional transmission organizations (RTOs) to effectively
extract actual load profiles at transmission nodes with significant behind-the-meter solar …
extract actual load profiles at transmission nodes with significant behind-the-meter solar …
Semi-supervised disaggregation of load profiles at transmission buses with significant behind-the-meter solar generations
It is of imperative interests for regional transmission organizations (RTOs) to effectively
extract daily load profiles at transmission buses, which remains a gap in existing technology …
extract daily load profiles at transmission buses, which remains a gap in existing technology …
Maximizing Grid Intelligence: Harnessing Substation Load Data via Machine Learning
Distribution grids are evolving due to rising electricity demand and renewable energy
integration, requiring efficient operation and effective planning. To achieve this, one …
integration, requiring efficient operation and effective planning. To achieve this, one …
Factorization Machine Learning for Disaggregation of Transmission Load Profiles with High Penetration of Behind-the-Meter Solar
The ever-growing high penetration of ubiquitously distributed energy resources, especially
behind-the-meter solar (BTM) generations, has significant impacts on nodal load (ie, net …
behind-the-meter solar (BTM) generations, has significant impacts on nodal load (ie, net …