Home › Entities › academia › An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems

An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems

Research article (Energy Reports, 2022) · cited 22× · AI/ML
academia openalex:W4292405955
Press Enter · cited answer in seconds

An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems

Summary

An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems is a scholarly article[1].

Key Facts

  • An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems
MLA “An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems.
BibTeX @misc{4ortxyz_an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems — https://4ort.xyz/entity/an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-integrated-d-cnn-lstm-approach-for-short-term-heat-demand-prediction-in-district-heating-systems · Last refreshed: