Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)

Research article (Results in Engineering, 2023) · cited 104× · AI/ML
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Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)

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Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT) is a scholarly article[1].

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  • Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT). Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-energy-consumption-demand-of-customers-in-smart-grid-using-temporal-fusion-transformer-tft
MLA “Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-energy-consumption-demand-of-customers-in-smart-grid-using-temporal-fusion-transformer-tft.
BibTeX @misc{4ortxyz_forecasting-energy-consumption-demand-of-customers-in-smart-grid-using-temporal-fusion-transformer-tft_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT)}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-energy-consumption-demand-of-customers-in-smart-grid-using-temporal-fusion-transformer-tft}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting energy consumption demand of customers in smart grid using Temporal Fusion Transformer (TFT) — https://4ort.xyz/entity/forecasting-energy-consumption-demand-of-customers-in-smart-grid-using-temporal-fusion-transformer-tft (retrieved 2026-05-24)

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