[HTML][HTML] Building energy performance monitoring through the lens of data quality: A review

J Morewood - Energy and Buildings, 2023 - Elsevier
Data quality is important across sectors to ensure that data meets the requirements of its
users, but until now little attention has been given to how it is reported in the architecture …

Artificial bee colony optimization based non-intrusive appliances load monitoring technique in a smart home

S Ghosh, D Chatterjee - IEEE Transactions on Consumer …, 2021 - ieeexplore.ieee.org
Recent advances of energy management system in a smart home can lead to load
monitoring of electrical appliances for energy saving and reduction of electricity bill. Thus …

Extraction of statistical features for type-2 fuzzy NILM with IoT enabled control in a smart home

S Ghosh, A Chatterjee, D Chatterjee - Expert Systems with Applications, 2023 - Elsevier
Identification and monitoring of residential appliances are important facets for home energy
management and essential for proper functioning of the connected devices. In this paper …

Non-intrusive identification of harmonic polluting loads in a smart residential system

S Ghosh, D Chatterjee - Sustainable Energy, Grids and Networks, 2021 - Elsevier
Smart meter technology has been developed rapidly in modern industrial environment in the
context of smart grid connected residential load system. For the smart meter's application …

A smart IoT based non-intrusive appliances identification technique in a residential system

S Ghosh, A Chatterjee… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
To improve the living standard of smart cities, remote monitoring of residential appliances is
a significant aspect for home energy management system. With enormous evolution of the …

Non-intrusive load monitoring using feed forward neural network

DS Kumar, KL Low, A Sharma… - 2019 IEEE Innovative …, 2019 - ieeexplore.ieee.org
In recent years, electricity demands have increased because of the growing population. In
order to reduce energy consumption, several studies have concluded that Non-Intrusive …

Voltage-based load recognition in low voltage distribution grids with deep learning

H Schlachter, S Geißendörfer, K von Maydell, C Agert - Energies, 2021 - mdpi.com
Due to the increasing penetration of renewable energies in lower voltage level, there is a
need to develop new control strategies to stabilize the grid voltage. For this, an approach …

Voltage-Based Heat Pump Recognition in Low Voltage Distribution Grids with Convolutional Neural Networks

H Schlachter, S Geißendörfer… - 2022 IEEE PES …, 2022 - ieeexplore.ieee.org
The increasing power generation by renewable energy plants in low voltage level leads to
the need for further development of strategies for grid voltage stabilization. For this, there is …

[PDF][PDF] Grid-secluded Induction Generator with ANN and Interval Type-2 Fuzzy based Controller for Wind Power Generation with Smart Load Control

A Chatterjee, B Banerjee - Qeios, 2023 - researchgate.net
Three-phase Induction generators are widely used to extract power from wind both in grid-
connected and isolated conditions. This paper proposes an induction generator-based …

A coarse-to-fine strategy based on a supervised learning method for non-intrusive load identification

D Kai, H Zihang, Y Shiqi, W Peng… - … Conference on Big …, 2023 - ieeexplore.ieee.org
To address the non-intrusive load identification method suitable to recognize different types
of loads in residual homes, this paper presents a coarse-to-fine strategy based on a …