Blockchain for smart cities: A review of architectures, integration trends and future research directions
In recent years, smart city has emerged as a new paradigm to provide high quality facilities
to the citizens by dynamically optimising the city resources. Smart cities can offer finest …
to the citizens by dynamically optimising the city resources. Smart cities can offer finest …
Performance evaluation of bluetooth low energy: A systematic review
Small, compact and embedded sensors are a pervasive technology in everyday life for a
wide number of applications (eg, wearable devices, domotics, e-health systems, etc.). In this …
wide number of applications (eg, wearable devices, domotics, e-health systems, etc.). In this …
Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks
This paper presents a robust short-term electrical load forecasting framework that can
capture variations in building operation, regardless of building type and location. Nine …
capture variations in building operation, regardless of building type and location. Nine …
Digital twin empowered wireless healthcare monitoring for smart home
The dramatic progresses of wireless technologies and wearable devices have significantly
promoted the development and popularity of smart home, while digital twin (DT) emerges as …
promoted the development and popularity of smart home, while digital twin (DT) emerges as …
Neural network model for short-term and very-short-term load forecasting in district buildings
H Dagdougui, F Bagheri, H Le, L Dessaint - Energy and Buildings, 2019 - Elsevier
Load forecasting plays an important role in energy management in smart buildings. It is
expected that precise prediction of loads can bring significant economic benefits to smart …
expected that precise prediction of loads can bring significant economic benefits to smart …
Energy management systems in sustainable smart cities based on the internet of energy: A technical review
In this paper, we exploit state-of-the-art energy management in sustainable smart cities
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
Energy management of a smart railway station considering regenerative braking and stochastic behaviour of ESS and PV generation
The smart grid paradigm has provided great opportunities to decrease energy consumption
and electricity bills of end users. Among a wide variety of end users, electrical railway …
and electricity bills of end users. Among a wide variety of end users, electrical railway …
[HTML][HTML] Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning …
With rising energy costs and concerns about environmental sustainability, there is a growing
need to deploy Home Energy Management Systems (HEMS) that can efficiently manage …
need to deploy Home Energy Management Systems (HEMS) that can efficiently manage …
Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
The emergence of novel demand-side management strategies is provoking that residential
consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms …
consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms …
An ensemble energy consumption forecasting model based on spatial-temporal clustering analysis in residential buildings
Due to the availability of smart metering infrastructure, high-resolution electric consumption
data is readily available to study the dynamics of residential electric consumption at finely …
data is readily available to study the dynamics of residential electric consumption at finely …