Abstract
This article presents a fuzzy framework for smart home monitoring systems (FF-SHMS) effective in energy using the Internet of Things (IoT), demand monitoring, green energy conservation, energy conservation, and microgrids. The proposed fuzzy architecture is used to optimize the construction of intelligent microgrids with storage networks, sustainability, and resource-regulated loads. The fuzzy framework improves electricity and storage to use renewables and optimizes the economic reward of the microgrid. The fuzzy framework uses sun power, wind speed, and power load as input parameters to allow power efficiency controllably and uncontrolled. Input factors such as sunlight, electrical efficiency, wind, and energy are used to manage electricity using uncontrollable and regulated loads. These input data may be directly measured, imported, or estimated using any prediction method by grid calculation. This article contains the input parameters, a range of rules, and the de-fuzzified output by the expert method. The results of the expert program are mentioned to understand how to manage microgrid energy consumption and production. The judgements on generated electricity, load demand, and own use are dependent on three outputs. The first generation is for the treatment, sale, or consumption of the generated energy. The secondary output is used to check the loading. The third finding demonstrates how manufacturing can be performed to use by consumers. The expert procedure by entering parameter values on an hourly basis has been evaluated. The proposed solution is finally contrasted with other accessible alternatives to validate the results.