NILM applications: Literature review of learning approaches, recent developments and challenges
This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
A review and reflection on open datasets of city-level building energy use and their applications
Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …
efficiency, which is an essential measure to address global energy and environmental …
Review on deep neural networks applied to low-frequency nilm
P Huber, A Calatroni, A Rumsch, A Paice - Energies, 2021 - mdpi.com
This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
Short-term energy consumption forecasting at the edge: A federated learning approach
M Savi, F Olivadese - IEEE Access, 2021 - ieeexplore.ieee.org
Residential short-term energy consumption forecasting plays an essential role in modern
decentralized power systems. The rise of innovative prediction methods able to handle the …
decentralized power systems. The rise of innovative prediction methods able to handle the …
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources-A review
Occupant-related inputs are significant parameters that influence energy simulation
accuracy at both the building and urban levels. In most previous research works, fixed …
accuracy at both the building and urban levels. In most previous research works, fixed …
Towards data-driven energy communities: A review of open-source datasets, models and tools
Energy communities will play a central role in the sustainable energy transition by helping
inform and engage end users to become more responsible consumers of energy. However …
inform and engage end users to become more responsible consumers of energy. However …
[HTML][HTML] Building power consumption datasets: Survey, taxonomy and future directions
In the last decade, extended efforts have been poured into energy efficiency. Several energy
consumption datasets were henceforth published, with each dataset varying in properties …
consumption datasets were henceforth published, with each dataset varying in properties …
A survey on non-intrusive load monitoring methodies and techniques for energy disaggregation problem
The rapid urbanization of developing countries coupled with explosion in construction of
high rising buildings and the high power usage in them calls for conservation and efficient …
high rising buildings and the high power usage in them calls for conservation and efficient …
Towards reproducible state-of-the-art energy disaggregation
N Batra, R Kukunuri, A Pandey, R Malakar… - Proceedings of the 6th …, 2019 - dl.acm.org
Non-intrusive load monitoring (NILM) or energy disaggregation is the task of separating the
household energy measured at the aggregate level into constituent appliances. In 2014, the …
household energy measured at the aggregate level into constituent appliances. In 2014, the …
Intelligent home energy management using Internet of Things platform based on NILM technique
Due to the continuous increase in the global energy demand, it is essential to find solutions
to improve energy efficiency. Non-intrusive load monitoring (NILM) is one of the most …
to improve energy efficiency. Non-intrusive load monitoring (NILM) is one of the most …