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Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage
Research article (International Journal of Refrigeration, 2021) · cited 32× · AI/ML
Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage
Summary
Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage is a scholarly article[1].
Key Facts
Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-deep-learning-artificial-neural-networks-models-to-predict-temperature-and-power-demand-variation-for-dem
MLA“Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-deep-learning-artificial-neural-networks-models-to-predict-temperature-and-power-demand-variation-for-dem.
BibTeX@misc{4ortxyz_development-of-deep-learning-artificial-neural-networks-models-to-predict-temperature-and-power-demand-variation-for-dem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-deep-learning-artificial-neural-networks-models-to-predict-temperature-and-power-demand-variation-for-dem}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage — https://4ort.xyz/entity/development-of-deep-learning-artificial-neural-networks-models-to-predict-temperature-and-power-demand-variation-for-dem (retrieved 2026-05-24)
