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IoT-Enabled Smart Solar Energy Management System for Enhancing Smart Grid Power Quality and Reliability
Voltage fluctuations and power grid instability are caused by the growing use of distributed renewable energy sources (RESs) like solar energy. The...
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Cybersecurity challenges in IoT-based smart renewable energy
The Internet of Things (IoT) makes it possible to collect data from, and issue commands to, devices via the Internet, eliminating the need for humans...
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Hybrid energy efficient deep learning and redactable consortium blockchain-based secure framework for smart parking in smart cities
Management of vehicular parking in the crowded environment is the indispensable requirement for the smart city scenario. The advent and potential...
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Deep learning based predictive analysis of energy consumption for smart homes
Predicting energy consumption has become crucial to creating a sustainable and intelligent environment. With the aid of forecasts of future demand,...
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A novel energy efficient model of smart dustbin for waste segregation
Effective waste management underscores the need for an automated system capable of segregating various types of waste, efficiently distinguishing...
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An intelligent mechanism for energy consumption scheduling in smart buildings
In recent years, the incorporation of sensing technology into residential buildings has given rise to the concept of ”smart buildings”, aimed at...
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Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review
Urbanization increases electricity demand due to population growth and economic activity. To meet consumer’s demands at all times, it is necessary to...
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Enhanced K-NN with Bayesian optimization algorithm for predicting energy efficiency of smart grids in IoT
With the increasing a huge amount of end users using electricity in modern cities, smart grids have some critical problems for energy efficiency and...
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Automatic optimal multi-energy management of smart homes
Residential and commercial buildings are responsible for approximately 35% of carbon emissions in industrialized countries. Making buildings more...
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Intelligent Multi-connectivity Based Energy-Efficient Framework for Smart City
Smart city enhances the intelligence and sustainability of the city assets through advanced and diversified applications characterised by specific...
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Centralized smart energy monitoring system for legacy home appliances
The increasing global population and reliance on electrical devices for daily life resulted in sharply rising energy consumption. Also, this leads to...
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An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities
Energy theft is a significant problem that needs to be addressed for effective energy management in smart cities. Smart meters are highly utilized in...
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A digital twin of a local energy system based on real smart meter data
The steadily increasing usage of smart meters generates a valuable amount of high-resolution data about the individual energy consumption and...
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SGLSim: tool for smart glazing energy performance analysis
A tool Smart Glazing Simulator (SGLSim), has been developed to perform parametric simulation analysis of different window systems with several...
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Energy-Efficient Median Filter Core Architecture for Impulse Noise Removal in Smart Measurement Systems
In modern measurement systems, preserving accurate data integrity is essential for reliable and precise measurements. The presence of impulse noise...
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Breaking the energy-efficiency barriers for smart sensing applications with “Sensing with Computing” architectures
With the develo** technologies of artificial intelligence and the Internet of Things, intelligent IoT (iIoT) is prevailing currently. Design and...
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Detection of Energy Consumption Cyber Attacks on Smart Devices
With the rapid development of the Internet of Things (IoT) technology, intelligent systems are increasingly finding their way into everyday life and...
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A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side...
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SMART CITIES: P2P Energy Trading Using Blockchain
This chapter describes a distributed smart grid application for smart cities that enables peer-to-peer energy trading to reduce resource consumption...
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Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Accurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of...
