Electrical Load Classification with Open-Set Recognition

Proceedings Paper

Detecting Unknown Electrical Loads Using Open Set Recognition

Daniel Istvan Nemeth et al.

Summary: This paper presents a novel solution to the problem of detecting unknown electric loads in a household by applying an SVM-based Open Set recognition method, addressing the limitations of current load classification solutions.

2022 IEEE 10TH INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE 2022) (2022)

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Proceedings Paper Green & Sustainable Science & Technology

SP4LC: A Method for Recognizing Power Consumers in a Smart Plug

Daniel Istvan Nemeth et al.

Summary: This paper proposes a new approach for load classification using smart plugs and demonstrates the classification results of collected data using various methods suitable for both edge computing and cloud computation.

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS) (2022)

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Article Energy & Fuels

Home energy management system (HEMS): concept, architecture, infrastructure, challenges and energy management schemes

Bandana Mahapatra et al.

Summary: This paper presents a comprehensive review of efficient power management at home, which has undergone revolutionary changes in power consumption areas with the advancements in technologies. The study focuses on technical and conceptual aspects, proposing a novel methodology that incorporates green building concepts to reduce residential energy consumption.

ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS (2022)

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Article Energy & Fuels

Efficient energy scheduling considering cost reduction and energy saving in hybrid energy system with energy storage

Abderraouf Bouakkaz et al.

Summary: This paper proposes an optimal strategy for scheduling energy consumption to help reduce household energy costs and save energy in a residential house connected to a microgrid. The results show that the scheduling strategy reduces daily operating costs by 45% and saves about 22% of energy in the system.

JOURNAL OF ENERGY STORAGE (2021)

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Article Construction & Building Technology

Real-time non-intrusive load monitoring: A light-weight and scalable approach

Christos L. Athanasiadis et al.

Summary: Non-intrusive load monitoring (NILM) is a hot topic attracting academic and industrial interest, which can unlock various smart-home services and opportunities. This paper proposes a multi-class NILM system that can detect any number of appliances in real-time and can automatically identify new devices.

ENERGY AND BUILDINGS (2021)

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Article Energy & Fuels

A Scalable Real-Time Non-Intrusive Load Monitoring System for the Estimation of Household Appliance Power Consumption

Christos Athanasiadis et al.

Summary: This paper presents a real-time NILM system that detects the turning-on of a target appliance and estimates its consumption in real-time by processing the measured active power transient response. The proposed system consists of three main blocks: an event detection algorithm, a convolutional neural network classifier, and a power estimation algorithm, demonstrating high computational and memory efficiency in achieving promising results in real-time.

ENERGIES (2021)

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Article Construction & Building Technology

Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities

Swati Sharda et al.

Summary: In the era of smart grid, demand side management (DSM) is crucial for development of sustainable cities and societies. This paper discusses practical challenges in implementing DSM through load shifting for IoT-enabled home energy management systems (HEMS), and emphasizes the need for advanced optimization algorithms.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Automation & Control Systems

Robust Optimal Energy Management of a Residential Microgrid Under Uncertainties on Demand and Renewable Power Generation

Seyed Mohsen Hosseini et al.

Summary: This article introduces a novel robust framework for the day-ahead energy scheduling of a residential microgrid, addressing challenges posed by the inherent intermittency of renewable energy sources and users' behavior. The proposed method effectively minimizes energy costs while satisfying various constraints, providing a satisfactory tradeoff between users' payment and constraints' violation rate.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)

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Review Green & Sustainable Science & Technology

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

Sana Iqbal et al.

Summary: This paper reviews research on Demand Side Management strategies, identifying challenging perspectives for future study. Researchers use soft computing and optimization techniques to address energy management challenges, with DSM implementation playing an important role in smart energy management.

SUSTAINABILITY (2021)

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Proceedings Paper Computer Science, Information Systems