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Non-intrusive load monitoring: A review
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …
has led to growing electric power needs through the increased number of electrical …
Recent applications of AI to environmental disciplines: A review
The rapid development and efficiency of Artificial Intelligence (AI) tools have made them
increasingly popular in various fields and research domains. The environmental discipline is …
increasingly popular in various fields and research domains. The environmental discipline is …
IoT big data analytics for smart homes with fog and cloud computing
Abstract Internet of Things (IoT) analytics is an essential mean to derive knowledge and
support applications for smart homes. Connected appliances and devices inside the smart …
support applications for smart homes. Connected appliances and devices inside the smart …
Review on deep neural networks applied to low-frequency nilm
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 …
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
Smart meter roll-outs provide easy access to granular meter measurements, enabling
advanced energy services, ranging from demand response measures, tailored energy …
advanced energy services, ranging from demand response measures, tailored energy …
Electrical load-temperature CNN for residential load forecasting
Residential load forecasting is a challenging problem due to complex relations among the
hourly electrical load values along the time and also nonlinear relationships among the …
hourly electrical load values along the time and also nonlinear relationships among the …
Big data mining of energy time series for behavioral analytics and energy consumption forecasting
Responsible, efficient and environmentally aware energy consumption behavior is
becoming a necessity for the reliable modern electricity grid. In this paper, we present an …
becoming a necessity for the reliable modern electricity grid. In this paper, we present an …
A comprehensive review of residential electricity load profile models
A third of the final electricity in the EU is consumed by households. The increased usage of
multiple electrical devices, electromobility, self-generation and consumption of electricity as …
multiple electrical devices, electromobility, self-generation and consumption of electricity as …
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …
observing power usage in buildings. It tackles several challenges in transitioning into a more …
Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …