Home ›
Entities
› academia
› Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms
Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms
Research article (Electronics, 2024) · cited 20× · AI/ML
Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms
Summary
Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms is a scholarly article[1].
Key Facts
Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Improving Short-Term Load Forecasting with Multi-Scale Convolutional Neural Networks and Transformer-Based Multi-Head Attention Mechanisms. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-short-term-load-forecasting-with-multi-scale-convolutional-neural-networks-and-transformer-based-multi-head-at