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Impact of internet of things paradigm towards energy consumption prediction: A systematic literature review
YL Cheng, MH Lim, KH Hui - Sustainable Cities and Society, 2022 - Elsevier
The contribution of buildings to energy consumption (both residential and commercial) is
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
Indoor room temperature forecasting in buildings: a literature review (2001-21)
K Pandey, B Basu - Facilities, 2022 - emerald.com
Purpose Building energy management systems use important information from indoor room
temperature (IRT) forecasting to predict daily loads within smart buildings. IRT forecasting is …
temperature (IRT) forecasting to predict daily loads within smart buildings. IRT forecasting is …
MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings
Indoor temperature prediction is an essential component of building control and energy
saving. Although existing indoor temperature prediction frameworks have achieved …
saving. Although existing indoor temperature prediction frameworks have achieved …
[HTML][HTML] A non-linear autoregressive model for indoor air-temperature predictions in smart buildings
In recent years, the contrast against energy waste and pollution has become mandatory and
widely endorsed. Among the many actors at stake, the building sector energy management …
widely endorsed. Among the many actors at stake, the building sector energy management …
Multi-dimensional joint prediction model for IoT sensor data search
In recent years, with the rapid deployment of various Internet of Things (IoT) devices, it
becomes a crucial and practical challenge to enable real-time search for objects, data, and …
becomes a crucial and practical challenge to enable real-time search for objects, data, and …
[HTML][HTML] Smartphone architecture for edge-centric IoT analytics
The current baseline architectures in the field of the Internet of Things (IoT) strongly
recommends the use of edge computing in the design of the solution applications instead of …
recommends the use of edge computing in the design of the solution applications instead of …
Modeling and optimizing energy supply and demand in home area power network (HAPN)
Internet of energy based smart power grids demonstrate high in-feed from renewable energy
resources (RESs) and lofty out-feed to energy consumers. Uncertainties evolved by …
resources (RESs) and lofty out-feed to energy consumers. Uncertainties evolved by …
An investigation on pervasive technologies for IoT-based thermal monitoring
Indoor thermal monitoring is a crucial requirement for home automation, which fits inside the
ever-growing Internet of Things (IoT) paradigm. The IoT ecosystem aims at connecting every …
ever-growing Internet of Things (IoT) paradigm. The IoT ecosystem aims at connecting every …
An energy-saving data statistics-driven management technique for bio-powered indoor wireless sensor nodes
Wireless sensor networks (WSNs) are technologies that play an important role in Internet of
Things (IoT) systems. In most applications, sensor nodes are expected to operate for …
Things (IoT) systems. In most applications, sensor nodes are expected to operate for …
S3Mining: A model-driven engineering approach for supporting novice data miners in selecting suitable classifiers
Data mining has proven to be very useful in order to extract information from data in many
different contexts. However, due to the complexity of data mining techniques, it is required …
different contexts. However, due to the complexity of data mining techniques, it is required …