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Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling
Research article (Electronics, 2024) · cited 19× · AI/ML
Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling
Summary
Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling is a scholarly article[1].
Key Facts
Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling. Retrieved May 24, 2026, from https://4ort.xyz/entity/nonintrusive-load-monitoring-nilm-using-a-deep-learning-model-with-a-transformer-based-attention-mechanism-and-temporal-
MLA“Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nonintrusive-load-monitoring-nilm-using-a-deep-learning-model-with-a-transformer-based-attention-mechanism-and-temporal-.
BibTeX@misc{4ortxyz_nonintrusive-load-monitoring-nilm-using-a-deep-learning-model-with-a-transformer-based-attention-mechanism-and-temporal-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling}}, year = {2026}, url = {https://4ort.xyz/entity/nonintrusive-load-monitoring-nilm-using-a-deep-learning-model-with-a-transformer-based-attention-mechanism-and-temporal-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Nonintrusive Load Monitoring (NILM) Using a Deep Learning Model with a Transformer-Based Attention Mechanism and Temporal Pooling — https://4ort.xyz/entity/nonintrusive-load-monitoring-nilm-using-a-deep-learning-model-with-a-transformer-based-attention-mechanism-and-temporal- (retrieved 2026-05-24)