Novel approach to energy consumption estimation in smart homes: application of data mining and optimization techniques
Buildings account for a significant portion of total energy consumption, and the introduction of intelligent buildings represents a significant step forward in efficiently managing energy utilization. The proposed solutions represent a significant step forward in the development of intelligent resid...
Main Authors: | Mengyuan Lin, Liyuan Peng, Tingting Liu, Lili Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1361803/full |
Similar Items
-
An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption
by: Shamaila Iram, et al.
Published: (2023-01-01) -
Data Aging Matters: Federated Learning-Based Consumption Prediction in Smart Homes via Age-Based Model Weighting
by: Konstantinos Skianis, et al.
Published: (2023-07-01) -
Smart Grid Energy Optimization and Scheduling Appliances Priority for Residential Buildings through Meta-Heuristic Hybrid Approaches
by: Ch Anwar ul Hassan, et al.
Published: (2022-02-01) -
Optimizing Energy Consumption in Smart Homes Using Machine Learning Techniques
by: Kumar Neeraj, et al.
Published: (2023-01-01) -
A comprehensive analytical exploration and customer behaviour analysis of smart home energy consumption data with a practical case study
by: K. Purna Prakash, et al.
Published: (2022-11-01)