Results 141 to 150 of about 16,187 (303)

Power outage [PDF]

Index on Censorship, 2015
openaire   +1 more source

Bi‐level capacity planning for park IES considering energy supply reliability

Energy Conversion and Economics, EarlyView.
Abstract Carbon emissions and energy consumption of urban buildings represent a notable fraction of global energy utilization. In pursuit of the “carbon peaking and carbon neutrality” goals, urban park building integrated energy system (IES) energy saving technology is regarded as a key technology to achieve sustainable urban development.
Chenxi Wu, Hao Li, Yaolin Lou, Walter Angelis, Xinfu Li, Dongmin Zhu   +5 more
wiley   +1 more source

State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

Energy Conversion and Economics, EarlyView.
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang, Yongtao Liu, Pingfeng Ye, Xingquan Ji, Yunqi Wang, Kezhuang Xue, Xuchen Ma   +6 more
wiley   +1 more source

Outage Probability Performance of Hybrid Time-Power Splitting Relaying Protocol with Interferers Presence

ABUAD Journal of Engineering Research and Development
Combining simultaneous wireless information and power transfer with full-duplex communication at the energy-constrained relay terminal is a practical way of improving the lifespan and data rates performance of cooperative wireless networks.
Damilare Oluwole Akande, Olasunkanmi Fatai Oseni, Festus Kehinde Ojo, Job Adedamola Adeleke, Ayobami Olatunde Fawole   +4 more
doaj   +1 more source

HSL‐CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Energy Conversion and Economics, EarlyView.
Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao, Qiuyu Lu, June Li, Zhao Peng, Guo Shen, Ming Ni   +5 more
wiley   +1 more source

Age of information-oriented sampling and power control in vehicular status update networks

物联网学报
In a vehicular status update network based on broadcast communication, a D/Geo/1/1 queuing mechanism with minimum timestamp priority was adopted to transmit data packets.The queuing theory was used to analyze the age-ofinformation (AoI) outage ...
Jianhua ZENG, Chongtao GUO, Cheng GUO
doaj   +2 more sources

Quantum contingency analysis for power system steady-state security identification

Scientific Reports
Unprecedented extreme climate events cause devastating infrastructure outages within power systems. Comprehensive outage identification is essential for the identification of critical components to ensure the uninterrupted power supply in a secure manner
Fei Feng, Yifan Zhou, Mikhail A. Bragin, Yacov A. Shamash, Peng Zhang   +4 more
doaj   +1 more source

Towards practical oscillation detection in wind farms: Comparative study of AI models, novel metrics, and edge implementations

Energy Conversion and Economics, EarlyView.
Abstract Fast oscillations observed in wind farms and other renewable energy systems interfaced with power grids must be addressed promptly to prevent devastating shutdown and damage. Existing approaches mainly target high‐magnitude oscillations using data‐intensive convolutional neural networks (CNNs), leading to delayed detection and overlooking mild
Shyam Yathirajam, Arash Peighambari, Valeria Romero, Christopher Rubin, Nikil Balaji, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia   +8 more
wiley   +1 more source

Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency. [PDF]

Sci Rep, 2020
Alemazkoor N, Rachunok B, Chavas DR, Staid A, Louhghalam A, Nateghi R, Tootkaboni M.   +6 more
europepmc   +1 more source

Full‐stage risk management of forecast deviation for large‐scale renewable energy participating in the spot market

Energy Conversion and Economics, EarlyView.
Abstract Against the backdrop of renewable energy achieving full market integration, renewable energy forecasting deviations have become a critical bottleneck constraining the clearing efficiency of electricity spot markets, hindering the rational allocation of costs, and threatening the secure operation of the power system.
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, Si Zhang, Li Yang, Zhenzhi Lin   +5 more
wiley   +1 more source