Building Energy Management and Conservation using Internet of Things

L. Raju, P. K, S. S, V. V, Bharathraj V
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Abstract

Energy conservation is not much focused than finding new energy resources without harming the environment. There is more talk on new energy generation and renewable energy than Energy conservation. This paper implements the building energy management and conservation using advanced technologies. Internet of Things (IOT) and machine learning are used to automate the building appliances and monitor the energy usage. This paper deals with conservation of energy through building automation and energy management through sensors and actuators using advanced IOT technologies. The building appliances are sensed through various types of sensors and monitored through Arduino for effective use of electricity in the building. Bluetooth controlled android app called Smart Home is built using MIT App Inventor. Local automation is done through Bluetooth and MIT app inventor so as to monitor and control all the electrical appliances of the building through the hand held devices. The careless use of electricity by the customers is noticed and necessary actions are taken. As the energy consumption is monitored continuously all the time which eventually brings awareness about use of energy. The Artificial intelligence Techniques are used are used to predict the load which eventually leads to effective building energy management. This paper aims to conserve energy in building at least by ten percent using advanced technologies
基于物联网的建筑能源管理与节约
节约能源并不比寻找不损害环境的新能源更重要。关于新能源和可再生能源的讨论多于节约能源。本文运用先进的技术实现了建筑能源的管理与节约。物联网(IOT)和机器学习用于自动化建筑设备并监控能源使用情况。本文通过使用先进的物联网技术的传感器和执行器,通过建筑自动化和能源管理来节约能源。建筑设备通过各种类型的传感器进行感知,并通过Arduino进行监控,以有效利用建筑中的电力。蓝牙控制的安卓应用程序“智能家居”是用麻省理工学院应用程序发明人开发的。通过蓝牙和MIT app inventor实现局部自动化,通过手持设备对大楼内所有电器进行监控。注意到客户的粗心用电,并采取必要的行动。由于能源消耗一直在持续监测,最终带来了对能源使用的认识。人工智能技术被用于预测负荷,最终导致有效的建筑能源管理。这篇论文的目标是利用先进技术在建筑中节省至少10%的能源
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