Results 41 to 50 of about 8,824 (253)

Mitigating Missing Rate and Early Cyberattack Discrimination Using Optimal Statistical Approach with Machine Learning Techniques in a Smart Grid

open access: yesEnergies
In the Industry 4.0 era of smart grids, the real-world problem of blackouts and cascading failures due to cyberattacks is a significant concern and highly challenging because the existing Intrusion Detection System (IDS) falls behind in handling missing ...
Nakkeeran Murugesan   +4 more
doaj   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

open access: yesEnergy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine   +5 more
wiley   +1 more source

Importance and challenges of geomagnetic storm forecasting

open access: yesFrontiers in Astronomy and Space Sciences
Space weather prediction is a central focus of solar-terrestrial studies, with forecasts of geomagnetic storms deemed critical due to their significant practical implications.
Olga Khabarova, Colin Price
doaj   +1 more source

Reconstructing alcohol-induced memory blackouts

open access: yes, 2017
Many people who drink alcohol have experienced a blackout; whereby they are unable to recall events that occurred during a period of intoxication. Following these blackout episodes individuals may attempt to reconstruct what happened to them.
Nash, RA, Takarangi, MKT
core   +1 more source

De‐Carbonizing the Transport Sector on the University Campus: A Techno‐Economic‐Environment Assessment and Optimization of PV Fed Electric Bicycles Amid Global Fuel Crisis

open access: yesEnergy Science &Engineering, EarlyView.
This study develops and evaluates a solar PV‐fed electric bicycle system optimized for university campuses in Pakistan. The techno‐economic analysis demonstrates significant fuel savings, emission reductions, and sustainability benefits, promoting a cost‐effective, eco‐friendly, and renewable transportation alternative amid rising global fuel and ...
Muhammad Abdullah Khan   +4 more
wiley   +1 more source

Integrating AI Models for Voltage and Current Monitoring in Autonomous Mobile Robots to Prevent Power System Blackouts

open access: yesIEEE Access
Continuous operations in extreme environments require a reliable energy supply for autonomous systems. The proposed research presents a novel AI-driven system that averts power system blackouts by utilizing autonomous robots trained in artificial ...
Stephanie Ness
doaj   +1 more source

A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges

open access: yesEnergies, 2019
Power systems are the most complex systems and have great importance in modern life. They have direct impacts on the modernization, economic, political and social aspects.
Hassan Haes Alhelou   +3 more
doaj   +1 more source

Missing Rainfall Extremes in Commercial Microwave Link Data Due To Complete Loss of Signal

open access: yesEarth and Space Science, 2023
An important aspect of rainfall estimation is to accurately capture extreme events. Commercial microwave links (CMLs) can complement weather radar and rain gauge data by estimating path‐averaged rainfall intensities near ground.
Julius Polz   +2 more
doaj   +1 more source

Alcohol-induced blackouts : lessons learned from examining three risk factors

open access: yes, 2018
Alcohol-induced blackouts, one neurobiological consequence of alcohol use, are periods of amnesia for all or part of a drinking event. Risk factors for blackouts include a family history of problematic alcohol use (FH+), early onset of drinking, and ...
Marino, Elise Nicole
core   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

open access: yesEnergy Science &Engineering, EarlyView.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

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