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Distribution network state estimation based on attention-enhanced recurrent neural network pseudo-measurement modeling
Because there is insufficient measurement data when implementing state estimation in distribution networks, this paper proposes an attention-enhanced...
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Distribution network optimization: predicting computation times to design scenario analysis for network operators
The increased use of renewable energies promotes decarbonization and raises the load on power distribution networks, forcing responsible distribution...
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Identification of Electrical Network Faults During Multi-Sided Observation
An electrical network consisting of a chain-type connection of unobserved sections and radial lines observed from one side is considered. The network...
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Gradient boosting dendritic network for ultra-short-term PV power prediction
To achieve effective intraday dispatch of photovoltaic (PV) power generation systems, a reliable ultra-short-term power generation forecasting model...
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Adaptive overcurrent protection scheme coordination in presence of distributed generation using radial basis neural network
The operational performance of conventional overcurrent protection relay coordination connected to a distribution network is adversely affected by...
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Multi-Class Classification of Power Network States Using Multi-Dimensional Neural Network
During power system operation, for the optimized operation and control of power networks, its operation is usually segregated into several different...
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A multi-energy inertia-based power support strategy with gas network constraints
An integrated energy system with multiple types of energy can support power shortages caused by the uncertainty of renewable energy. With full...
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Reactive Power and Network Partitioning
This chapter presents the concepts of partitioning the network into local areas, to capture the localised nature of reactive power requirement in...
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Active Network Twins
Active Network Twins (ANT) is a mathematical phrase made up of parameters and topology of the power circuit. It is used as a linear multiplier in...
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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids
Advances in natural gas-fired technologies have deepened the coupling between electricity and gas networks, promoting the development of the...
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System for Automated Calculation of the Operation Parameters of the Relay Protection in 6 – 35 kV Distribution Network
Currently, low-capacity power plants, connected to distribution networks of medium voltage class near electricity consumers, are increasingly being...
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A Combined DG Integration-Network Reconfiguration-Based Method for Network Loss Minimization and Voltage Profile Improvement
Distribution system operators (DSOs) are opting network reconfiguration as a simple and cost-effective way of reducing network losses and avoiding...
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Stability Analysis of Hybrid Microgrid Considering Network Dynamics
Dynamic load is a critical factor affecting the stability of hybrid microgrids (MG) due to their sensitivity to voltage and frequency fluctuations....
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Bi-level stochastic optimization model of smart distribution grids considering the transmission network to reduce vulnerability
This paper presents a novel optimization framework for integrating transmission and distribution networks. The proposed framework consists of a...
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Bioenergy production from agro-livestock waste under uncertainty: a sustainable network design
Global warming and other environmental issues brought on by the usage of fossil fuels and the unsustainable urban population development have...
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Shunt compensation using Deep Belief Learning Network Based Inductively Coupled DSTATCOM
The directly coupled distributed static compensator (DC-DSTATCOM) is often utilized to achieve better power quality (PQ) in the power distribution...
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Investigation of power quality issues in 14-bus electrical network with high penetration of renewable generation
Power quality issues arise in electrical networks when variable renewable energy (VRE) is integrated into them due to their random and intermittent...
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Wind speed forecasting at wind farm locations with an unique hybrid PSO-ALO based modified spiking neural network
In this article, a new modified Spiking Neural Network (SNN) model, a form of machine learning (ML) model is employed for forecasting wind speed...
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Spatial prediction of soil organic carbon in coal mining subsidence areas based on RBF neural network
A quantitative research on the effect of coal mining on the soil organic carbon (SOC) pool at regional scale is beneficial to the scientific...
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AFDX Network Simulation System Based on OPNET Modeler
Today, fully duplex Avionics Full-Duplex Switched Ethernet (AFDX) has replaced the traditional aviation electronics transmission bus standards,...