Continuous estimation of power system inertia using convolutional neural networks
Inertia is a measure of a power system's capability to counteract frequency disturbances: in
conventional power networks, inertia is approximately constant over time, which contributes …
conventional power networks, inertia is approximately constant over time, which contributes …
Artificial intelligence-based methods for renewable power system operation
Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
Inertia estimation of synchronous devices: Review of available techniques and comparative assessment of conventional measurement-based approaches
The increasing deployment of renewable energy sources (RESs) reduces the inertia levels
of modern power systems, raising frequency stability issues. Therefore, it becomes crucial …
of modern power systems, raising frequency stability issues. Therefore, it becomes crucial …
Federated learning with non-iid data: A survey
Z Lu, H Pan, Y Dai, X Si, Y Zhang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) is an efficient decentralized machine learning methodology for
processing nonindependent and identically distributed (non-IID) data due to geographical …
processing nonindependent and identically distributed (non-IID) data due to geographical …
Oes-fed: a federated learning framework in vehicular network based on noise data filtering
Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …
management, intelligent dynamic information service, and intelligent vehicle control to …
[HTML][HTML] A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
JM Riquelme-Dominguez, M Carranza-García… - International Journal of …, 2024 - Elsevier
The progressive substitution of conventional synchronous generation for renewable-based
generation imposes a series of challenges in many aspects of modern power systems …
generation imposes a series of challenges in many aspects of modern power systems …
Demand-side management of self-sustained droop based standalone microgrid using conservation voltage reduction strategy
Self-sustained microgrid (MG) carries the potential to replicate a conventional grid network
with a smooth and robust control scheme to generate and disseminate power with the …
with a smooth and robust control scheme to generate and disseminate power with the …
Application of data‐driven methods in power systems analysis and control
O Bertozzi, HR Chamorro… - IET Energy Systems …, 2023 - Wiley Online Library
The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …
electronics has brought about substantial changes in the structure and dynamics of modern …
Multi-Energy Load Forecasting in Integrated Energy Systems: A Spatial-Temporal Adaptive Personalized Federated Learning Approach
H Wu, Z Xu - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
Short-term forecasting of multienergy loads is of paramount significance for integrated
energy systems operation. The central forecasting framework is confronted with the privacy …
energy systems operation. The central forecasting framework is confronted with the privacy …
A Two-Stage Data-Driven Method for Estimating the System Inertia Utilizing Event-Driven PMU Measurements
SH Lee, JH Liu, BY Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the increasing penetration level of renewable energy resources with less system
inertia, accurate estimation of the power system inertia has become a critical issue for …
inertia, accurate estimation of the power system inertia has become a critical issue for …