[HTML][HTML] Optimization of the electrical demand of an existing building with storage management through machine learning techniques

M Cordeiro-Costas, D Villanueva, P Eguía-Oller - Applied Sciences, 2021 - mdpi.com
Featured Application The methods and models presented in this paper optimize the
management of a building's storage system by modeling and predicting electrical demand …

Energy Consumption in Smart Buildings using Machine Learning

KBA Kumar, G Gopireddy… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Energy is the indispensable factor of modern societies. From last few decades, there is rapid
increase in world's energy consumption due to raise of population and their comfort …

Machine learning methods to forecast temperature in buildings

F Mateo, JJ Carrasco, A Sellami… - Expert Systems with …, 2013 - Elsevier
Efficient management of energy in buildings saves a very important amount of resources
(both economic and technological). As a consequence, there is a very active research in this …

[HTML][HTML] Load forecasting with machine learning and deep learning methods

M Cordeiro-Costas, D Villanueva, P Eguía-Oller… - Applied Sciences, 2023 - mdpi.com
Characterizing the electric energy curve can improve the energy efficiency of existing
buildings without any structural change and is the basis for controlling and optimizing …

Comparison of multi linear regression and artificial neural network to predict the energy consumption of residential buildings

R Nainwal, A Sharma - IOP Conference Series: Earth and …, 2022 - iopscience.iop.org
The building sector along with its sub-sectors is the world's leading consumer of all forms of
energy and consumes about 30% of the world's final energy consumption. With the increase …

Forecasting of Energy Consumption: Artificial Intelligence Methods

TC Brito, MA Brito - 2022 17th Iberian Conference on …, 2022 - ieeexplore.ieee.org
Currently, energy consumption is one of the most important research areas in the world. The
growing need to increase energy efficiency and improve the use of energy sources brings …

[PDF][PDF] Machine learning in energy consumption management

M Zekić-Sušac - Proceedings of the 14th International Symposium on …, 2017 - bib.irb.hr
Energy management is one of the hot topics among researchers. How to consume less
energy from non-renewable resources is among the biggest challenges and could be …

Towards Sustainable Buildings: Predictive Modeling of Energy Consumption with Machine Learning

Z ZOUBIR, ERR Houda, ESS Niima, A SOULDI… - Procedia Computer …, 2024 - Elsevier
The building sector's energy consumption remains a significant problem, requiring the
development of powerful energy management systems to improve energy efficiency. The …

Machine learning models for electricity consumption forecasting: a review

A Gonzalez-Briones, G Hernandez… - 2019 2nd …, 2019 - ieeexplore.ieee.org
The prediction of energy consumption is a task that allows energy supply companies to
adapt to certain behaviors. Among these activities that companies can perform is to know the …

[HTML][HTML] Prediction of cooling energy consumption in hotel building using machine learning techniques

M Borowski, K Zwolińska - Energies, 2020 - mdpi.com
The diversification of energy sources in buildings and the interdependence as well as
communication between HVAC installations in the building have resulted in the growing …