Results 31 to 40 of about 5,972 (206)

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Calculating the Interconnection Limit from a Comprehensive Voltage Evaluation for Distribution Systems with Large Distributed Energy Resources

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Japan is pursuing power source decarbonization and is thus reducing fuel‐based thermal power generation while promoting renewable energy resource use. Given the expected power fluctuations, this transition will require novel voltage management and control methods.
Satoshi Uemura, Koushichi Nemoto, Yasuhiro Hayashi   +2 more
wiley   +1 more source

Ultra-Fast Busbar Protection by Applying TT-transform on Superimposed Current Signals [PDF]

مجله مدل سازی در مهندسی, 2018
In this paper a new method for busbar protection is presented. In this method high frequency components generated by faults in current signals at the outputs of current transformers of substations are extracted by applying TT transform and then the ...
Mahmood Lashgari, S. Mohammad Shahrtash
doaj   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Biochar‐Compost From Cashew Apple Residue as a Soil Amendment for Cashew Cultivation in Ghana

Plant-Environment Interactions
The study investigated the effect of different compost types on the growth performance of cashew (Anacardium occidentale L.) varieties cultivated in a Lixisol from Northern Ghana.
Elvis Frimpong Manso, Michael Teye Barnor, Mutala Edem Baba, Wisdom Edem Anyomi   +3 more
doaj   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Partial discharge fault identification method for GIS equipment based on improved deep learning

The Journal of Engineering
Aiming at the problems of large consumption of computational resources and insufficient data feature extraction in the current partial discharge fault identification process of GIS equipment, a partial discharge fault identification method of GIS ...
Weitao Hu, Jianpeng Li, Xiaofei Liu, Guang Li   +3 more
doaj   +1 more source

Regional Infrared and Visible Image Registration for Distribution Substation Areas With Wide Depth of Field

High Voltage, EarlyView.
ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley   +1 more source

Research on safety and energy efficiency monitoring technology for substation power system based on load holography perception

AIP Advances
Substations are an important component of the power grid, and their energy consumption and operational reliability are crucial for the safe and stable operation of the power grid.
Yong Li, Jing Guo, Yanhu He, Runming He
doaj   +1 more source