AIMC Topic: Electricity

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Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.

PloS one Nov 14, 2024
Accurate electricity consumption forecasting in residential buildings has a direct impact on energy efficiency and cost management, making it a critical component of sustainable energy practices. Decision tree-based ensemble learning techniques are p...
Electricity Machine Learning Housing Forecasting Humans Decision Trees Artificial Intelligence
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Mapping Spatiotemporal Disparities in Residential Electricity Inequality Using Machine Learning.

Environmental science & technology Oct 29, 2024
The move toward electrification is critical for decarbonizing the energy sector but may exacerbate energy unaffordability without proper safeguards. Addressing this challenge requires capturing neighborhood-scale dynamics to uncover the blind spots i...
Socioeconomic Factors Electricity Humans Machine Learning
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Cross-domain zero-shot learning for enhanced fault diagnosis in high-voltage circuit breakers.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Ensuring the stability of high-voltage circuit breakers (HVCBs) is crucial for maintaining an uninterrupted supply of electricity. Existing fault diagnosis methods typically rely on extensive labeled datasets, which are challenging to obtain due to t...
Electricity Vibration Semantics Neural Networks, Computer Machine Learning Algorithms Equipment Failure
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Novel glassbox based explainable boosting machine for fault detection in electrical power transmission system.

PloS one Aug 28, 2024
The reliable operation of electrical power transmission systems is crucial for ensuring consumer's stable and uninterrupted electricity supply. Faults in electrical power transmission systems can lead to significant disruptions, economic losses, and ...
Neural Networks, Computer Machine Learning Algorithms Equipment Failure Electric Power Supplies Electricity
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Optimizing wave energy converter benchmarking with a fuzzy-based decision-making approach.

PloS one Jul 26, 2024
The quest for sustainable energy solutions has intensified interest in marine renewables, particularly wave energy. This study addresses the crucial need for an objective assessment of Wave Energy Converter (WEC) technologies, which are instrumental ...
Decision Making Fuzzy Logic Electricity Renewable Energy
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Fabric tearing performance state perception and classification driven by multi-source data.

PloS one Apr 16, 2024
The tear strength of textiles is a crucial characteristic of product quality. However, during the laboratory testing of this indicator, factors such as equipment operation, human intervention, and test environment can significantly influence the resu...
Textiles Perception Electricity Support Vector Machine Humans
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Flexible large-area ultrasound arrays for medical applications made using embossed polymer structures.

Nature communications Mar 30, 2024
With the huge progress in micro-electronics and artificial intelligence, the ultrasound probe has become the bottleneck in further adoption of ultrasound beyond the clinical setting (e.g. home and monitoring applications). Today, ultrasound transduce...
Equipment Design Electronics Artificial Intelligence Ultrasonography Electricity Phantoms, Imaging Transducers
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Non-invasive load monitoring based on deep learning to identify unknown loads.

PloS one Feb 9, 2024
With the rapid development of smart grids, society has become increasingly urgent to solve the problems of low energy utilization efficiency and high energy consumption. In this context, load identification has become a key element in formulating sci...
Electricity Cryopyrin-Associated Periodic Syndromes Fatigue Humans Deep Learning Computer Systems
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Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Sensors (Basel, Switzerland) Dec 19, 2023
Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical imaging. However, contemporary deep-learning-based approaches are susceptible to inaccuracies stemming from inadequate training datasets, primarily consi...
Electromagnetic Phenomena Electricity Diagnostic Imaging Deep Learning Radiography
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Non-fragile guaranteed cost control of microbial fuel cells.

ISA transactions Aug 28, 2023
A microbial fuel cell (MFC), which is a new type of energy source, utilises electrogenic bacteria in sewage or soil to convert chemical energy into electrical energy. MFCs typically require an external controller to provide a stable output voltage to...
Bioelectric Energy Sources Computer Simulation Electricity Algorithms Fuzzy Logic
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