Design and Development of an IoT Smart Meter with Load Control for Home Energy Management Systems

Article Computer Science, Hardware & Architecture

Trust aware energy management system for smart homes appliances

Kashif Naseer Qureshi et al.

Summary: This paper presents a Trust-aware Energy Management System for Smart Homes (TEMSH) that intelligently controls home appliances to reduce energy cost, based on advanced communication technologies and security mechanisms.

COMPUTERS & ELECTRICAL ENGINEERING (2022)

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Review Construction & Building Technology

NILM applications: Literature review of learning approaches, recent developments and challenges

Georgios-Fotios Angelis et al.

Summary: The paper critically examines the non-intrusive load monitoring (NILM) problem by reviewing the experimental framework of both legacy and state-of-the-art studies. It presents widely used NILM datasets, analyzes feature engineering approaches, and discusses the evolution of learning methods. Performance evaluation methods, limitations of NILM, and future research directions are also discussed.

ENERGY AND BUILDINGS (2022)

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Article Energy & Fuels

Implementation of home energy management system based on reinforcement learning

Ejaz Ul Haq et al.

Summary: The feasibility of implementing machine learning methods in home energy management to minimize electricity cost by regulating home electric appliances systems and integrating renewable energy resources is explored in this paper. Simulation-based findings validate the efficiency and reliability of the proposed method without requiring previous information of household electric appliances.

ENERGY REPORTS (2022)

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Article Environmental Studies

User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications

Zeynep Duygu Tekler et al.

Summary: This study investigates the user acceptance of smart energy management systems in the workplace using a mixed-methods approach. The findings reveal key factors that influence users' perceptions, such as attractiveness, control, and privacy. Based on these findings, design implications and organization-level policies are proposed to guide the design of future workplace systems and ensure successful technology roll-out company-wide.

ENERGY RESEARCH & SOCIAL SCIENCE (2022)

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Article Construction & Building Technology

Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings

Zeynep Duygu Tekler et al.

Summary: This paper proposes a novel IoT-based plug load management system called Plug-Mate, which reduces energy consumption and user burden through intelligent automation. Different control strategies were evaluated and the optimal balance between automation and user control was found.

BUILDING AND ENVIRONMENT (2022)

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Article Energy & Fuels

A new IoT-based smart energy meter for smart grids

Danielly B. Avancini et al.

Summary: The increase in energy consumption poses challenges to energy security and the environment, leading to the need for better consumer understanding and control. Smart meters, with advanced features such as smart control and bidirectional communication, are fundamental components in smart grids. Integration and efficiency improvements can be achieved through a single system approach.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)

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Article Energy & Fuels

An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes

Helder R. O. Rocha et al.

Summary: A new methodology combining three different Artificial Intelligence techniques is proposed to solve energy demand planning in Smart Homes. By applying demand-side management to a multi-objective scheduling problem, a compromise between energy cost and user comfort is achieved.

APPLIED ENERGY (2021)

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Article Energy & Fuels

Design of IoT based smart compact energy meter for monitoring and controlling the usage of energy and power quality issues with demand side management for a commercial building

T. Karthick et al.

Summary: The paper discusses the crucial role of IoT in the energy sector, proposing a Commercial Building Energy Management System using smart energy meters for monitoring and control, as well as Demand Side Management for optimizing load patterns in commercial buildings. Real-time operation and remote validation are utilized for monitoring and controlling commercial appliances.

SUSTAINABLE ENERGY GRIDS & NETWORKS (2021)

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Article Energy & Fuels