Results 51 to 60 of about 7,561 (259)

Impacts of heatwaves on electricity reliability: Evidence from power outage data in China

iScience
Summary: Heatwaves, driven by climate change, have increasingly challenged energy systems with increased demand and reduced supply, leading to power outages.
Jing Liang, Yueming (Lucy) Qiu, Bo Wang, Xingchi Shen, Shangwei Liu   +4 more
doaj   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Predicting the restoration pattern from hurricane-induced power outages from facebook data

Resilient Cities and Structures
Extreme events such as tropical storm, tornado, hurricane cause significant disruptions to infrastructure systems including power, water, transportation, telecommunication services.
Tasnuba Binte Jamal, Samiul Hasan, Ali Mostafavi   +2 more
doaj   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Convolutional Neural Networks for Predicting Power Outages in Baghdad

مجلة النهرين للعلوم الهندسية
Power outages are a common and persistent problem in Iraq, significantly impacting various aspects of life and business. These interruptions disrupt routine household tasks and hinder more complex technical operations in industries and services ...
Saja Jafar Jawad, Shaymaa. W. Al-Shammari   +1 more
doaj   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Model Construction of Early Warning for Frequently Outage Complaint Based on Data Mining

MATEC Web of Conferences, 2018
At present, frequent outages have become the major source of power customer complaints and, seriously affect improvement of customer service satisfaction.
Fu Jun, Xu Xin, Sun Zhijie, Wang Li, Gong Dongmei, Zhang Lingyu   +5 more
doaj   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

Energy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor, Md Abdus Samad Kamal, Md. Feroz Ali, Md. Mahedi Hasan, Fahad Saleh Al‐Ismail, Md Shafiul Alam, Mohammad Ali   +6 more
wiley   +1 more source

Optimizing Network Expansion and Battery Storage to Mitigate Cascading Outages via Detailed System Failures Simulations

IEEE Access
Power networks have traditionally been designed to withstand credible outages, such as N-1 or N-2, often overlooking the complex interdependencies that can lead to cascading outages in modern systems. To address these evolving risks, planning models must
Alex Villamarin-Jacome, Rodrigo Moreno, Mathaios Panteli, Matthias Noebels, Eduardo Alejandro Martinez Cesena, Robin Preece   +5 more
doaj   +1 more source

Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages

IEEE Access, 2018
Predicting hurricane power outages facilitates disaster response decision-making by electric power utilities as well as other organizations of critical importance to society.
Sara Shashaani, Seth D. Guikema, Chengwei Zhai, Jordan V. Pino, Steven M. Quiring   +4 more
doaj   +1 more source