Shanghai Electric (China)

Data-locality-preserving carbon-aware coordination of power and electrified transportation systems using federated reinforcement learning

The rapid electrification of transportation systems has intensified the coupling between regional power grids, electric vehicle charging demand, and spatiotemporal traffic dynamics, posing significant coordination challenges under carbon constraints. Conventional centralized opti...

Data-driven residential electricity load forecasting method for virtual power plants

Abstract Virtual power plants (VPP) integrate distributed energy resources and residential loads to enhance the flexibility and reliability of power systems. Accurate residential electricity load forecasting is therefore essential for VPP scheduling and demand-side management. Ho...

A zero-sequence-enhanced 7-channel MTF-ResNet18-MSA framework for transmission line fault diagnosis

Abstract Accurate transmission-line fault diagnosis is important for reliable power-system protection. Existing deep learning methods often rely on phase-domain voltages and currents, which may be insufficient to distinguish severe three-phase faults with and without a ground pat...

A Bacterial–Microalgal–Manure Co-Application Ameliorates Saline-Alkali Soil and Promotes Wheat Growth

Severely saline–alkaline land degradation poses a considerable challenge to sustainable agriculture, owing to high salinity, elevated pH, and nutrient deficiency. To address this, a salt-tolerant nitrogen-fixing bacterium (Bacillus sp.) and a microalga (Chlorella pyrenoidosa) wer...

Thermal Stability of Plasma‐Assisted Film Deposition for Insulation Modification: In View of Hydrophobicity and Flashover Performances

ABSTRACT Polymer insulation exposed to natural environment inevitably face challenges from material ageing and surface insulating degradation. Surface treatment is an effective method to improve material performance, but traditional processing methods such as room temperature vul...

Broyden quasi-Newton-based parameter measurement method for thyristor-level components in converter valves without wire disconnection

To address the heavy workload of wire disconnection and reconnection, the measurement errors caused by external-circuit shunting, and the difficulty of obtaining specific component parameters using the comprehensive impedance method in field testing of damping and voltage-balanci...

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,...

Numerical Simulation on Thermal Curing Behavior and Defect Formation Mechanism Analysis of Basalt Fiber-Reinforced Polymer Core Rods for Composite Cross-Arms

The production of basalt fiber-reinforced polymer (BFRP) core rods for composite cross-arms in power transmission lines currently suffers from high defect rates—including internal porosity, surface cracking, under-curing, and thermal yellowing. Although BFRP exhibits superior mec...

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...

Vibration noise reduction of transmission lines based on fiber-optic array by using TOC-ICEEMDAN

To address the issue in which abnormal vibration monitoring signals from fiber-optic composite overhead ground wire (OPGW) transmission lines in complex field environments exhibit low signal-to-noise ratios (SNRs) and pronounced nonstationary characteristics, we proposes a tornad...

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...

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...