SMARTENERGY.KOM: An intelligent system for energy saving in smart home

Internet has revolutionized the technological era, which has a significant impact on us by making communication much better not only with the living beings but also with non-living things through the medium of internet of things (IoT). Thus, this topic highlights how internet of things can minimize user intervention in controlling home appliances and monitoring its setting. Integrating IoT with cloud computing and web service helps us in providing feasibility in accessing home appliances (i.e., monitoring appliances and measuring home condition). The whole process of integration aims to create an intelligent system. Thus, smart home is one of the application of IoT aimed at improving comfort, safety, and wellbeing within our homes.

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Facilitating Spontaneous Energy Saving in a Smart Home Using Interruptibility-Aware Reminders with Ecological and Abstract Information Visualization

Inclusive Society: Health and Wellbeing in the Community, and Care at Home - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39470-6_19 ◽

2013 ◽

pp. 151-158 ◽

Cited By ~ 2

Author(s):

Ching-Hu Lu ◽

Hsiao-Lin Hsieh ◽

Kou-Hsuan Tseng ◽

Chang-Hsuan Yin ◽

Shih-Shinh Huang

Keyword(s):

Energy Saving ◽

Information Visualization ◽

Smart Home

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Design and Implementation of IoT Based WSN Smart Home Automation Intelligent System using Flask Web Server

10.9734/bpi/naer/v11/11503d ◽

2021 ◽

pp. 140-156

Author(s):

G. Mallikharjuna Rao

Keyword(s):

Smart Home ◽

Intelligent System ◽

Web Server ◽

Home Automation ◽

Design And Implementation

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A fog-based hybrid intelligent system for energy saving in smart buildings

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-019-01375-2 ◽

2019 ◽

Vol 11 (7) ◽

pp. 2793-2807 ◽

Cited By ~ 5

Author(s):

Alessandra De Paola ◽

Pierluca Ferraro ◽

Giuseppe Lo Re ◽

Marco Morana ◽

Marco Ortolani

Keyword(s):

Energy Saving ◽

Intelligent System ◽

Smart Buildings ◽

Hybrid Intelligent System

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Strategy of Green Design on Intelligent Energy-Saving Product under Eco-Design Requirements for Energy-Using Product (EuP)

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.311.398 ◽

2013 ◽

Vol 311 ◽

pp. 398-403

Author(s):

Jui Che Tu ◽

Yu Chen Huang ◽

Chuan Ying Hsu ◽

Tung Che Wu

Keyword(s):

Energy Saving ◽

Product Design ◽

Intelligent System ◽

Comprehensive Evaluation ◽

Design Strategy ◽

Green Design ◽

The European Union ◽

Analytic Hierarchy ◽

Design Requirements ◽

Industry Needs

With the threat of global warming nowadays in the 21st century, the European Union has set the standard “Eco-Design Requirements for Energy-using Product(EuP)” for controlling the development of consumptive electronic machinery and products. Therefore, the trend of green design sees the instruction of EuP as the main direction for energy-saving. Considering the factors, undergoing the comprehensive evaluation and development process, the industry needs to draw up the corresponding design strategy in response to the new situation. Therefore, to optimize the green design strategy, the designers can replace hardware with the intelligent system to develop more optimal energy-saving products. Following the ecological instructions of energy-saving of EuP as direction, this study combined the advantage of the intelligent system and green design in order to optimize strategy of green design on intelligent energy-saving product under eco-design requirements for energy-using product (EuP). The evaluation factors were included in the strategies of intelligent energy-saving product design by analyzing the product users’ cognition, needs, habit and etc. Furthermore, through the Fuzzy Analytic Hierarchy Process (FAHP), the priority and the important factors of green design were analyzed. By examining the green design strategy on energy-using product, industry needs to think the energy-saving conditions and the key factors on deciding process. Eventually, the efficiency of product design for environment can be fulfilled successfully.

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An intelligent system for energy management in smart cities based on big data and ontology

Smart and Sustainable Built Environment ◽

10.1108/sasbe-07-2019-0087 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Zaoui Sayah ◽

Okba Kazar ◽

Brahim Lejdel ◽

Abdelkader Laouid ◽

Ahmed Ghenabzia

Keyword(s):

Big Data ◽

Energy Consumption ◽

Energy Saving ◽

Intelligent System ◽

Smart Cities ◽

Semantic Integration ◽

Saving Energy ◽

Content Type ◽

Multi Agent ◽

Reduce Energy Consumption

PurposeThis research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.Design/methodology/approachThis study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.FindingsThrough this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.Practical implicationsThe significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.Originality/valueThis work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.

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HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving

Energies ◽

10.3390/en13051097 ◽

2020 ◽

Vol 13 (5) ◽

pp. 1097 ◽

Cited By ~ 4

Author(s):

Isaac Machorro-Cano ◽

Giner Alor-Hernández ◽

Mario Andrés Paredes-Valverde ◽

Lisbeth Rodríguez-Mazahua ◽

José Luis Sánchez-Cervantes ◽

...

Keyword(s):

Machine Learning ◽

Energy Efficiency ◽

Big Data ◽

Energy Consumption ◽

Energy Saving ◽

Smart Home ◽

User Preferences ◽

The Internet ◽

Automation Systems ◽

Home Energy Management

Energy efficiency has aroused great interest in research worldwide, because energy consumption has increased in recent years, especially in the residential sector. The advances in energy conversion, along with new forms of communication, and information technologies have paved the way for what is now known as smart homes. The Internet of Things (IoT) is the convergence of various heterogeneous technologies from different application domains that are used to interconnect things through the Internet, thus allowing for the detection, monitoring, and remote control of multiple devices. Home automation systems (HAS) combined with IoT, big data technologies, and machine learning are alternatives that promise to contribute to greater energy efficiency. This work presents HEMS-IoT, a big data and machine learning-based smart home energy management system for home comfort, safety, and energy saving. We used the J48 machine learning algorithm and Weka API to learn user behaviors and energy consumption patterns and classify houses with respect to energy consumption. Likewise, we relied on RuleML and Apache Mahout to generate energy-saving recommendations based on user preferences to preserve smart home comfort and safety. To validate our system, we present a case study where we monitor a smart home to ensure comfort and safety and reduce energy consumption.

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A ZigBee-Based Smart Home System: An Energy-Saving Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.148-149.1528 ◽

2010 ◽

Vol 148-149 ◽

pp. 1528-1531

Author(s):

Xuan Zang ◽

Ying Sun ◽

Ke Jun Li

Keyword(s):

Energy Conservation ◽

Energy Saving ◽

Intelligent Control ◽

Smart Home ◽

Home Automation ◽

Zigbee Technology ◽

Internal Network ◽

New Energy ◽

Home Technology ◽

Smart Home Technology

Smart Home technology promises enormous possibilities to our future life. It contains internal network, intelligent control and home automation. The paper describes a novel architecture for the smart home system employing ZigBee technology. Energy conservation is also a feature of smart home system. Based on the time-of-use (TOU) pricing, a new energy saving solution has been proposed.

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