Home ›
Entities
› academia
› Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network
Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network
Research article (Heliyon, 2024) · cited 26× · AI/ML
Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network
Summary
Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network is a scholarly article[1].
Key Facts
Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network'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). Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/energy-consumption-prediction-in-an-office-building-by-examining-occupancy-rates-and-weather-parameters-using-the-moving
MLA“Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energy-consumption-prediction-in-an-office-building-by-examining-occupancy-rates-and-weather-parameters-using-the-moving.
BibTeX@misc{4ortxyz_energy-consumption-prediction-in-an-office-building-by-examining-occupancy-rates-and-weather-parameters-using-the-moving_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network}}, year = {2026}, url = {https://4ort.xyz/entity/energy-consumption-prediction-in-an-office-building-by-examining-occupancy-rates-and-weather-parameters-using-the-moving}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network — https://4ort.xyz/entity/energy-consumption-prediction-in-an-office-building-by-examining-occupancy-rates-and-weather-parameters-using-the-moving (retrieved 2026-05-24)
