Intelligent energy management: Evolving developments, current challenges, and research directions for sustainable future

M Ali, K Prakash, MA Hossain, HR Pota - Journal of cleaner production, 2021 - Elsevier
In the last decade, there have been significant developments in the field of intelligent energy
management systems (IEMSs), with various methods and new solutions proposed for …

Point-n-Press: an intelligent universal remote control system for home appliances

KM Lee, WG Teng, TW Hou - IEEE Transactions on automation …, 2016 - ieeexplore.ieee.org
With numerous connected devices and appliances, the smart home is one of the
representative fields of Internet of Things (IoT). As the complexity of devices/appliances …

GeLaP: German labeled dataset for power consumption

S Wilhelm, D Jakob, J Kasbauer, D Ahrens - Proceedings of Sixth …, 2022 - Springer
Due to the increasing spread of smart meters, numerous researchers are currently working
on disaggregating the power consumption data. This procedure is commonly known as Non …

Interference-aware wireless networks for home monitoring and performance evaluation

F Ding, A Song, D Zhang, E Tong… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a home Internet-of-Things system is analyzed by dividing it into four layers, ie,
the node layer, gateway layer, service layer, and open layer. The gateway layer, which …

Automated non-intrusive load monitoring system using stacked neural networks and numerical integration

SJ do Carmo Correa, ARG Castro - IEEE Access, 2020 - ieeexplore.ieee.org
Population growth and new consumer needs, among other factors, have lead to growing
energy demand, without a concomitant increase in energy generation. This way, reduction …

Residential load identification based on load profile using artificial neural network (ANN)

SJ Buchhop, P Ranganathan - 2019 North American Power …, 2019 - ieeexplore.ieee.org
Residential load identification is important for homeowners who wish to optimize their
electricity usage. If residential loads are identified correctly, the homeowners may use this …

Mining the big data of residential appliances in the smart grid environment

J Yang, J Zhao, F Wen, W Kong… - 2016 IEEE Power and …, 2016 - ieeexplore.ieee.org
Based on the dynamic time war** (DTW) matching method, a novel appliance
identification algorithm for low frequency sampling load data is proposed. First, residential …

Organizational, technical, ethical and legal requirements of capturing household electricity data for use as an AAL system

S Wilhelm, D Jakob, J Kasbauer, M Dietmeier… - Proceedings of Fifth …, 2021 - Springer
Due to demographic change, elderly care is one of the major challenges for society in near
future, fostering new services to support and enhance the life quality of the elderly …

Wind to start the washing machine? High-Resolution Wind Atlas for Finland

X Yang, Y Tian, I Schicker, A Jung - arxiv preprint arxiv:2303.04403, 2023 - arxiv.org
The current fossil fuel and climate crisis has led to an increased demand for renewable
energy sources, such as wind power. In northern Europe, the efficient use of wind power is …

Diseño de un Ecosistema de Internet de las Cosas para el Hogar Conectado Integrando Electrodomésticos de Línea Blanca: Hacia la Creación de Valor con la …

CA López Castaño - 2021 - repositorio.unal.edu.co
La estrategia de Internet de las cosas no debe verse solo como un mecanismo de reducción
de costos en las empresas manufactureras; en cambio, debe verse como la base para la …