Intelligent Lighting Control and Energy Management System

Bhartiya, Gunjan; Pathak, Pooja

doi:10.1109/parc49193.2020.236563

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…Specifically, applications are in precision agriculture, logistics, buildings, lighting, energy harvesting, wiring, etc. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Application Fieldsmentioning

confidence: 99%

“…Logistics KPIs based on energy aspects Indicators based on fuel consumption, vehicle kerb, weight, engine stress, maintenance level [20][21][22] Load factor, cargo weight, router length, specific fuel consumption (liters consumed every 100 km), vehicle kerb weight [20,21] IoT technology for lighting control for a university campus, providing energy savings by eliminating standby consumptions and adapting the user behavior to the real environmental conditions (building map construction) [27] Human occupancy patterns Public lighting control Energy saving technologies turning on/off streetlights automatically [28] Distance detection switching on the light when the object is sensed in a nearby area…”

Section: Logisticsmentioning

confidence: 99%

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Advanced and Complex Energy Systems Monitoring and Control: A Review on Available Technologies and Their Application Criteria

Massaro¹,

Starace²

2022

Sensors

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Complex energy monitoring and control systems have been widely studied as the related topics include different approaches, advanced sensors, and technologies applied to a strongly varying amount of application fields. This paper is a systematic review of what has been done regarding energy metering system issues about (i) sensors, (ii) the choice of their technology and their characterization depending on the application fields, (iii) advanced measurement approaches and methodologies, and (iv) the setup of energy Key Performance Indicators (KPIs). The paper provides models about KPI estimation, by highlighting design criteria of complex energy networks. The proposed study is carried out to give useful elements to build models and to simulate in detail energy systems for performance prediction purposes. Some examples of energy complex KPIs based on the integration of the Artificial Intelligence (AI) concept and on basic KPIs or variables are provided in order to define innovative formulation criteria depending on the application field. The proposed examples highlight how modeling a complex KPI as a function of basic variables or KPIs is possible, by means of graph models of architectures.

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“…Specifically, applications are in precision agriculture, logistics, buildings, lighting, energy harvesting, wiring, etc. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Application Fieldsmentioning

confidence: 99%

Section: Logisticsmentioning

confidence: 99%

Advanced and Complex Energy Systems Monitoring and Control: A Review on Available Technologies and Their Application Criteria

Massaro¹,

Starace²

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…motion detector, light sensor, temperature and humidity sensors, and several current sensors attached to each appliance to calculate energy consumption. It is very important to have sensors with durable battery life, energy-efficient and accurate environmental data reading, appropriate sensors with lower battery life, and inaccurate sensor readings will lead the IoT application to collapse [31].…”

Section: Several Wireless Technologies Help To Develop Iot Applications Bluetooth Andmentioning

confidence: 99%

Presence Aware Power Saving Mode (PA-PSM) Development for IoT Devices for Energy Conservation

Saleem¹,

Jazani²

2021

OJEE

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The smart home is gradually captivating worldwide and provides the best services to human life. It wipes traditional houses by turning them into smart homes; nowadays, numerous energy-efficient devices lead to optimal energy exploitation. It enhances the inhabitant's lifestyle, safety, and comfort since it is suitable for users of diverse incomes and ages. It is essential to exploit the technology to develop energy-efficient smart homes. The design and implementation of energy-efficient smart homes are proposed in this research work. It is a proposed model that can control home appliances, monitor energy usage and send low priority devices in switch OFF mode to save energy. It is a system that uses a combination of a central controller, sensors, modules and PA-PSM algorithm also proposed by this research work. The PIR sensor locates the human within the home and brings the nearby appliance in active mode; however, the rest switch OFF mode, the LDR (light dependent resistor) to sense the intensity of the light to decide if the light is needed else stays in switch OFF mode. The Arduino manages all the sensors, modules, home appliances including scheduling, and energy consumption of individual home appliances. The system automates the process and accepts the commands from end-user through mobile applications to use home appliances. It is a novel approach that has several experiments that help to reduce 20.34% of energy consumption.

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“…Energy-many applications focus on efficient energy management and electricity consumption reduction, at different scales. Solutions range from the field of public services such as public lighting [21][22][23], to private Smart Building (through the integration of different building systems and related maintenance processes for the optimized management of whole building stocks [24][25][26][27]). The individual dimension is also supported in the Smart Home sector, with the interconnection and remote control of electric appliances through smart metering, enabling the active role of non-expert residents [28][29][30][31][32].…”

Section: Efficient Resource Managementmentioning

confidence: 99%

The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

Lerario

2020

Sustainability

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In recent years the application of information and communication technologies (ICTs) to the built heritage has been increasingly finalized to heritage promotion in order to maximize visitor flows. New urgent challenges facing built heritage loom now over its very existence and our possibilities to preserve it for future generations. Italian heritage cities represent a delicate context, where concerns related to tourist flows and resource consumption are amplified due to the concentration of sites and points of interests in urban areas, also in very small ones, while tourism remains vital for economic growth. In such contexts, balancing economic development and sustainable heritage conservation demands well-calibrated tools and approaches. The article presents an overview of the ways the Internet of Things (IoT) is currently used to solve urban issues and support heritage projects. On this basis, and considering the characters and problems typical of heritage cities, as well as the features of the Italian scenario, the most appropriate application lines of IoT for the Italian heritage cities are identified. Then, their potentialities, the mutual impacts between them and the heritage field and the key role of the IoT in supporting the delicate balance between economic development and cultural resource conservation are finally discussed.

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Intelligent Lighting Control and Energy Management System

Cited by 8 publications

References 11 publications

Advanced and Complex Energy Systems Monitoring and Control: A Review on Available Technologies and Their Application Criteria

Advanced and Complex Energy Systems Monitoring and Control: A Review on Available Technologies and Their Application Criteria

Presence Aware Power Saving Mode (PA-PSM) Development for IoT Devices for Energy Conservation

The IoT as a Key in the Sensitive Balance between Development Needs and Sustainable Conservation of Cultural Resources in Italian Heritage Cities

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