Study on the operating characteristics of a solar heat pump water heater based on data fusion

T Xian, J Wu, X Zhang - Solar Energy, 2020 - Elsevier
To improve the operating performance of a heat pump system, experimental data obtained
from a solar integrated air source heat pump (SIASHP) water heater system were analysed …

Appliance-level monitoring with micro-moment smart plugs

A Alsalemi, Y Himeur, F Bensaali, A Amira - … 4: The Proceedings of the 5th …, 2021 - Springer
Human population are striving against energy-related issues that not only affects society and
the development of the world, but also causes global warming. A variety of broad …

Non‐intrusive load monitoring by voltage–current trajectory enabled asymmetric deep supervised hashing

Y Han, Y Xu, Y Huo, Q Zhao - IET Generation, Transmission & …, 2021 - Wiley Online Library
With the development of smart grids, appliance‐level data information plays a vital role in
smart power consumption. Nowadays, appliance signatures detected by non‐intrusive load …

A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects

A Maatoug, G Belalem, S Mahmoudi - Frontiers of Computer Science, 2023 - Springer
Nowadays, smart buildings rely on Internet of things (IoT) technology derived from the cloud
and fog computing paradigms to coordinate and collaborate between connected objects …

[HTML][HTML] Utility-based context-aware multi-agent recommendation system for energy efficiency in residential buildings

V Riabchuk, L Hagel, F Germaine, A Zharova - Information Fusion, 2024 - Elsevier
A significant part of CO 2 emissions is due to high electricity consumption in residential
buildings. Using load shifting can help to improve the households' energy efficiency. To …

Transient dataset of household appliances with Intensive switching events

D Zhang, X Zhang, L Hua, J Di, W Zhao, Y Ma - Scientific Data, 2024 - nature.com
With the development of Non-Intrusive Load Monitoring (NILM), it has become feasible to
perform device identification, energy consumption decomposition, and load switching …

[图书][B] Artificial Intelligence and Sustainability

MA Alloghani - 2024 - Springer
In an age where technological advancements are reshaping the world at an unprecedented
pace, we find ourselves standing at a crossroads—a juncture where artificial intelligence …

Intelligent Energy Consumption for Smart Homes using Fused Machine Learning Technique

HO Alzaabi - 2021 - search.proquest.com
Energy is an essential contribution for practically all exercises and is, in this way, imperative
for development in personal satisfaction. Because of this explanation, valuable energy has …

[Retracted] Stability Evaluation of Rock Slope in Hydraulic Engineering Based on Improved Support Vector Machine Algorithm

F Li, H Zhang - Complexity, 2021 - Wiley Online Library
The safety problem of the slope has always been an important subject in engineering
geology, which has a wide range of application background and practical significance in …

[PDF][PDF] Machine Learning for Data Fusion: A Fuzzy AHP Approach for Open Issues.

V Kukreja, A Abraham, K Kalaiselvi… - … Materials & Continua, 2023 - cdn.techscience.cn
Data fusion generates fused data by combining multiple sources, resulting in information
that is more consistent, accurate, and useful than any individual source and more reliable …