State Grid Corporation of China (China)

Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework

Abstract How to effectively identify defects in power transmission lines using unmanned aerial vehicle (UAV) technology remains a key research focus. This paper presents an optimization over traditional convolutional neural networks by proposing a spatially deformable convolution...

Evaluating the Visibility of Power-Line Bird-Collision Warning Devices Using an Avian Spectral-Response Weighting Model

Collisions with overhead power lines are an important source of avian mortality, particularly for migratory and large-bodied birds. Although warning devices are widely installed to increase line visibility, their image-based visibility across viewing distances and directions rema...

Research on Fault Identification and Decision for UHV Bushing Based on Knowledge Graph Rule Reasoning and Inductive Graph Convolutional Network

To address the challenges of integrating multi-source heterogeneous data, fragmented fault knowledge, and the limited capability of traditional rule engines in recognizing edge cases for ultra-high voltage (UHV) bushing fault diagnosis, this paper proposes a fault identification...

Interpretable short-term electric load forecasting based on Bayesian Optimization for AM-CNN-KAN

Accurate power load forecasting is crucial for modern power system planning, yet existing methods often struggle to balance high accuracy with model interpretability. To address this research gap, we propose AM-CNN-KAN, a novel hybrid model integrating Kolmogorov-Arnold Networks...

Waterborne polyurethane modified CFBFA cementitious materials properties and mechanism

This study addresses the challenge of directly and efficiently utilising circulating fluidised bed fly ash (CFBFA), which is difficult to employ due to its high calcium, high sulfur, and low reactivity, by introducing environmentally friendly waterborne polyurethane (WPU) as a mo...

An Enhanced Fault-Tolerant Scheme for Arm-Multiplexing Modular Multilevel Converters

The arm-multiplexing modular multilevel converter (AM-MMC) is a new compact MMC topology that is especially promising for offshore high-voltage direct current transmission systems. However, the reliable operation of AM-MMCs suffers from submodule (SM) faults. The fault-tolerant s...

Analytical and symbolic characterization of nonlinear dynamics for a class of energy supply demand system versus time delay

This paper investigates the nonlinear dynamic behavior of a three-dimensional energy supply–demand system with government regulation and time delay. A mathematical model is first established. By employing the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inlin...

Short-Term Electric Vehicle Charging Load Forecasting Based on Sample Entropy and CEEMDAN-TCN-BiGRU Hybrid Model

The large-scale integration of electric vehicles (EVs) brings significant challenges to power grid operation due to the strong nonlinearity and non-stationarity of charging loads. To address the limitations of existing methods in noise suppression and temporal feature extraction,...

Research on the Online Diagnosis Method for Heating Types of Composite Insulator

ABSTRACT In response to the current challenge of accurately determining the specific heating status of composite insulators with localised temperature rise using infrared detection technology, this paper proposes a novel diagnostic method. This method involves applying a disturba...

A spatiotemporal deep learning framework for electricity price linkage forecasting using graph attention and reinforcement learning

Medium- and long-term electricity spot-price forecasting is affected by temporal fluctuation, cross-market transmission, and unstable regional coupling, making single-market sequence models insufficient for linkage-aware prediction. This study proposes DL-GNN-LP, a spatiotemporal...

New Energy Vehicles and Charging and Battery-Swapping Infrastructure: Development Patterns, Policy Drivers, and the Evolution of Vehicle–Grid Interaction

The rapid expansion of electric mobility is reshaping both transport infrastructure and power-system operation. This narrative and critical review examines the connected evolution of new energy vehicle (NEV) markets, charging and battery-swapping infrastructure, policy mechanisms...

Stochastic Source–Load Optimal Scheduling of an Integrated Energy System Considering Carbon–Green Certificate Market Synergy and Diversified Hydrogen Utilization

To address the challenges of restricted renewable energy accommodation, high carbon emissions, and elevated operating costs in integrated energy systems (IES), this paper proposes a stochastic optimization scheduling method that incorporates the synergy between carbon–green certi...

Simultaneous Ce Ion Doping in Core and Cladding to Enhance the Radiation Resistance of Erbium-Doped Fibers

Erbium-doped fibers (EDFs) suffer from radiation-induced absorption (RIA) and radiation-induced gain variation (RIGV) under ionizing radiation, which limit their applications in space optical communication systems. To address this issue, a novel core–cladding Ce co-doped fiber is...