Decision Support System to Classify and Optimize the Energy Efficiency in Smart Buildings: A Data Analytics Approach
In this paper, an intelligent data analysis method for modeling and optimizing energy efficiency in smart buildings through Data Analytics (DA) is proposed. The objective of this proposal is to provide a Decision Support System (DSS) able to support experts in quantifying and optimizing energy effic...
Main Authors: | Manuel Peña, Félix Biscarri, Enrique Personal, Carlos León |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/4/1380 |
Similar Items
-
Decision Support Tool to Enable Real-Time Data-Driven Building Energy Retrofitting Design
by: Kalevi Piira, et al.
Published: (2022-07-01) -
Decision-support tool for prioritizing retrofitting actions on Social Housing stock in Italy
by: Jacopo Gaspari, et al.
Published: (2022-12-01) -
Review of the Decision Support Methods Used in Optimizing Ship Hulls towards Improving Energy Efficiency
by: Mina Tadros, et al.
Published: (2023-04-01) -
Cloud-Based Infrastructure and DevOps for Energy Fault Detection in Smart Buildings
by: Kaleb Horvath, et al.
Published: (2024-01-01) -
Artificial Jellyfish Optimization with Deep-Learning-Driven Decision Support System for Energy Management in Smart Cities
by: A. Al-Qarafi, et al.
Published: (2022-07-01)