An energy-efficient predictive control for HVAC systems applied to tertiary buildings based on regression techniques-Reference-Cited by-同舟云学术

An energy-efficient predictive control for HVAC systems applied to tertiary buildings based on regression techniques

Published:2017-10 Issue: Volume:152 Page:409-417
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Manjarres Diana,Mera Ana,Perea Eugenio,Lejarazu Adelaida,Gil-Lopez Sergio

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference27 articles.

1. Comfort, Cost and CO;Wall,2008

2. The missing link which was already there: building operators and energy management in non-residential buildings;Aune;Facilities,2009

3. Application of genetic algorithms to multi-time interval scheduling for daily operation of a cogeneration system;Lai,1997

4. R. Kramer, Energy management system and methods for the optimization of Distributed Generation, Patent US 6,757,591 B2 from Nisource Energy technologies, 29th June 2004.

5. Predictive optimal management method for the control of polygeneration systems;Collazosa;Comput. Chem. Eng.,2009

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Meta learning regression framework for energy consumption prediction in retrofitted buildings: A case study of South Korea;Journal of Building Engineering;2024-11

2. A novel study on power consumption of an HVAC system using CatBoost and AdaBoost algorithms combined with the metaheuristic algorithms;Energy;2024-09

3. Optimizing HVAC systems for semiconductor fabrication: A data-intensive framework for energy efficiency and sustainability;Journal of Building Engineering;2024-07

4. Data-Driven Energy Consumption Prediction of an Educational Institution Building Using Machine Learning Algorithms;2024

5. Smart grid with energy digitalization;Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems;2024