Green IoT Towards Environmentally Friendly, Sustainable and Revolutionized Farming

Manne, Ravi; Kantheti, Sneha Chowdary

doi:10.1002/9781119793144.ch4

Cited by 4 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The final classifications of feature-based smart buildings include eco-friendly features that help save energy and water, dispose of wastes efficiently, and restrict pollution [5]. Other features include utilizing available space efficiently, ensuring the physical health and well-being of occupants, installing and maintaining safety equipment, promoting the culture of occupants by addressing their expectations, and updating technology for the overall effectiveness of the features mentioned above [6].…”

Section: Smart Environment By Integrating Smart Buildingmentioning

confidence: 99%

Analyzing and Managing Various Energy-Related Environmental Factors for Providing Personalized IoT Services for Smart Buildings in Smart Environment

Krishnan

Prabu

Loganathan³

et al. 2023

Sustainability

View full text Add to dashboard Cite

More energy is consumed by domestic appliances all over the world. By reducing energy consumption, sustainability can be improved in domestic contexts. Several earlier approaches to this problem have provided a conceptual overview of green and smart buildings. This paper aims to provide a better solution for reducing energy consumption by identifying the fields of abnormal energy consumption. It creates a better environment-friendly smart building to adopt the various lifestyles of people. This paper’s main objective is to monitor and control the energy efficiency of smart buildings by integrating IoT sensors. This paper mainly analyzes various prime factors that can help to improve energy efficiency in smart buildings. Factors impacting energy consumption are analyzed, and outliers of energy consumption are predicted and optimized to save energy. Various parameters are derived from IoT devices to improve energy efficiency in lighting and HVAC controls, energy monitoring, building envelope and automation systems, and renewable energy. The parameters used in water, network convergence, and electrical and environmental monitoring are also used for improving energy efficiency. This paper uses various IoT devices for monitoring and generating data in and around a smart building and analyzes it by implementing an intelligent Information Communication Technology (ICT) model called the Dynamic Semantic Behavior Data Analysis (DSBDA) Model to analyze data concerning dynamic changes in the environment and user behavior to improve energy efficiency and provide better sustainable lifestyle-based smart buildings. From the analyzed output, the outliers of the power consumption and other abnormalities are identified and controlled manually or automatically to improve sustainability regarding energy use in smart buildings.

show abstract

Section: Smart Environment By Integrating Smart Buildingmentioning

confidence: 99%