The emergence of Smart Grid (SG) plays a vital role in energy generation and distribution system. As SG is the association of numerous applications, this can be properly utilized to reduce the energy consumption. Hence, in this work, a new architecture is proposed to optimize the usage of RES effectively. This proposed architecture utilizes IoT for gathering the power consumption profile of the devices. Based on this profile, a schedule for a device is generated by the Micro Grid. The analysis shows the efficiency of proposed architecture.
Weather forecasting plays a major role in various fields such as agriculture, transportation etc., It is also essential in prediction of natural disasters like Flood, storm etc., So in order to prevent the damages from such natural disorders, accurate weather prediction is essential. IoT topology is a combination of both hardware and wireless communication network utilized for real-time data analysis. Hence, this proposed topology formulated an IoT based weather monitoring using artificial neural network (ANN) for prediction. The main objective of this designed topology system is monitoring weather parameters such as temperature/humidity/pressure/rainfall etc., IoT is organized to collect data from sensors and is communicated through Wi-Fi network. ANN is tailored for weather prediction. The analysis proves that the proposed architecture shows better efficiency in weather prediction than the conventional methods.
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