Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review
SM Moghimi, TA Gulliver, I Thirumai Chelvan - Energies, 2024 - mdpi.com
Increasing building energy consumption has led to environmental and economic issues.
Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods …
Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods …
[HTML][HTML] Resource optimization for grid-connected smart green townhouses using deep hybrid machine learning
SM Moghimi, TA Gulliver, I Thirumarai Chelvan… - Energies, 2024 - mdpi.com
This paper examines Connected Smart Green Townhouses (CSGTs) as a modern
residential building model in Burnaby, British Columbia (BC). This model incorporates a …
residential building model in Burnaby, British Columbia (BC). This model incorporates a …
A data-driven approach to forecasting heating and cooling energy demand in an office building as an alternative to multi-zone dynamic simulation
Nowadays, as more data is now available from an increasing number of installed sensors,
load forecasting applied to buildings is being increasingly explored. The amount and quality …
load forecasting applied to buildings is being increasingly explored. The amount and quality …
[HTML][HTML] Estrategias de predicción de consumo energético en edificaciones: una revisión
L Ortega-Diaz, J Cárdenas-Rangel, G Osma-Pinto - TecnoLógicas, 2023 - scielo.org.co
Los edificios son uno de los principales actores contaminantes del medio ambiente, por lo
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
[PDF][PDF] Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review. Energies 2024, 17, 555
SM Moghimi, TA Gulliver, I Thirumai Chelvan - 2024 - academia.edu
Increasing building energy consumption has led to environmental and economic issues.
Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods …
Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods …
[PDF][PDF] Governing the GB digital energy revolution to support net zero by 2050
E Judson - 2024 - ore.exeter.ac.uk
Energy systems worldwide are being shaped by the confluence of four major sociotechnical
trends: decarbonisation, digitalisation, decentralisation, and democratisation. In Great …
trends: decarbonisation, digitalisation, decentralisation, and democratisation. In Great …
Estrategias de predicción de consumo energético en edificaciones: una revisión
LO Diaz, JC Rangel, GAO Pinto - TecnoLógicas, 2023 - dialnet.unirioja.es
Los edificios son uno de los principales actores contaminantes del medio ambiente, por lo
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
que es necesario fortalecer las estrategias para la reducción de su consumo energético …
Previsão de consumos de energia associados à climatização em edifícios de serviços com base em estratégias de Machine Learning
XDV Godinho - 2020 - iconline.ipleiria.pt
A previsão de consumos energéticos tem vindo a ganhar uma grande notoriedade nos
últimos anos pelo seu papel na gestão e monitorização de consumos dos edifícios. Além …
últimos anos pelo seu papel na gestão e monitorização de consumos dos edifícios. Além …