Energy management system for residential buildings based on fuzzy logic: design and implementation in smart‐meter

Chojecki, Adrian; Rodak, M. I.; Ambroziak, Arkadiusz; Borkowski, P.

doi:10.1049/iet-stg.2019.0005

Cited by 25 publications

(6 citation statements)

References 40 publications

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“…A similar rule-based architecture using defeasible logic was also implemented by Cristani, Tomazzoli, Karafili, and Olivieri (2016). Chojecki et al (2020) designed a system that combined a rule-based implementation along with a fuzzy logic algorithm, incorporated on a smart meter to perform direct control. Last, Papaioannou et al (2018) proposed an event-based rule engine to change energy waste behaviors in public buildings.…”

Section: Rule Enginementioning

confidence: 99%

Intelligent Energy Management Systems -- A Review

Mischos¹,

Eleanna²,

Vrakas³

2022

Preprint

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Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People consume electricity in order to use home/work appliances and devices and also reach certain levels of comfort while working or being at home. However, even though the environmental impact of this behavior is not immediately observed, it leads to increased CO2 emissions coming from energy generation from power plants. Confronting such a problem efficiently will affect both the environment and our society. Monitoring energy consumption in real-time, changing energy wastage behavior of occupants and using automations with incorporated energy savings scenarios, are ways to decrease global energy footprint. In this review, we study intelligent systems for energy management in residential, commercial and educational buildings, classifying them in two major categories depending on whether they provide direct or indirect control. The article also discusses what the strengths and weaknesses are, which optimization techniques do they use and finally, provide insights about how these systems can be improved in the future.

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Section: Rule Enginementioning

confidence: 99%

Intelligent Energy Management Systems -- A Review

Mischos¹,

Eleanna²,

Vrakas³

2022

Preprint

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“…Recently, many research contributions proposed different designs of smart energy meters for home automation and smart building management [9,22]. Sayed et al, in reference [22], suggested a smart meter prototype design based on knowledge of integration of university-level educational courses.…”

Section: Related Workmentioning

confidence: 99%

Design of a Smart Distribution Panelboard Using IoT Connectivity and Machine Learning Techniques

Shaban

Alsharekh

2022

Energies

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Electric load management through continuous monitoring and intelligent controlling has become a pressing requirement, particularly in light of rising electrical energy costs. The main purpose of this work is to realize a low-voltage electrical distribution panelboard that allows for real-time load monitoring and that provides a load forecasting feature at the household level. In this regard, we demonstrate the design and the implementation details of an IoT-enabled panelboard with smart features. An IoT dashboard was used to display the most significant information in terms of voltage, current, real power, reactive power, apparent power, power factor, and energy consumption. Additionally, the panel system offers visualization capabilities that were integrated into a cloud-based machine learning modeling. Among several algorithms used, the Gaussian SVM regression exhibited the best training and validation results for the load forecasting feature. It is possible for the proposed design to be simply developed to add more smart features such as fault detection and identification. This assists in an efficient management of energy demand at the consumer level.

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“…Different from above, in [71], an SM is designed using the fuzzy logic with the objective of minimizing the consumers cost of energy provided with an increased security. The SM's design contains the traditional LCD (liquid crystal display), buttons, power supply, and serial port modules with the WiFi connectivity.…”

Section: ) Smart Metering and Energy Management In Buildings/homesmentioning

confidence: 99%

Energy Management in Smart Buildings and Homes: Current Approaches, a Hypothetical Solution, and Open Issues and Challenges

et al. 2021

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Energy plays a pivotal role for economic development of a country. A reliable energy source is needed to improve the living standards of people. To achieve such a goal, governments and industries are trying to install a new energy infrastructure called the "Smart Grid". This helps to manage the electricity generation and distribution in an efficient manner. Buildings and other structures are the biggest consumers of electricity. There is a need to reduce the energy consumption so that the resources can be utilized efficiently. Therefore, in this paper, we give a comprehensive state-of-the-art on various recent techniques and solutions which provide energy savings in smart homes and buildings. This includes statistical models, cloud computing based solutions, fog computing and smart metering based architectures, and several other IoT (internet of things) inspired solutions. We also present a hypothetical model that treats energy supply and usage in buildings as a self-managing energy system (SES). This paper is concluded by highlighting several open issues and challenges related to energy management in buildings.INDEX TERMS Energy Management, Smart Buildings and Homes.

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Energy management system for residential buildings based on fuzzy logic: design and implementation in smart‐meter

Cited by 25 publications

References 40 publications

Intelligent Energy Management Systems -- A Review

Intelligent Energy Management Systems -- A Review

Design of a Smart Distribution Panelboard Using IoT Connectivity and Machine Learning Techniques

Energy Management in Smart Buildings and Homes: Current Approaches, a Hypothetical Solution, and Open Issues and Challenges

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