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Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods
Research article (Electric Power Systems Research, 2022) · cited 31× · AI/ML
Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods
Summary
Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods is a scholarly article[1].
Key Facts
Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/short-term-individual-residential-load-forecasting-using-an-enhanced-machine-learning-based-approach-based-on-a-feature-
MLA“Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/short-term-individual-residential-load-forecasting-using-an-enhanced-machine-learning-based-approach-based-on-a-feature-.
BibTeX@misc{4ortxyz_short-term-individual-residential-load-forecasting-using-an-enhanced-machine-learning-based-approach-based-on-a-feature-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/short-term-individual-residential-load-forecasting-using-an-enhanced-machine-learning-based-approach-based-on-a-feature-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods — https://4ort.xyz/entity/short-term-individual-residential-load-forecasting-using-an-enhanced-machine-learning-based-approach-based-on-a-feature- (retrieved 2026-05-24)