A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks

Research article (Energy Conversion and Management, 2020) · cited 28× · AI/ML
Press Enter · cited answer in seconds

A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks

Summary

A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks is a scholarly article[1].

Key Facts

  • A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks's instance of is recorded as scholarly article[2].

📑 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). A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution
MLA “A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution.
BibTeX @misc{4ortxyz_a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks — https://4ort.xyz/entity/a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-parallel-solution-with-gpu-technology-to-predict-energy-consumption-in-spatially-distributed-buildings-using-evolution · Last refreshed: