This article presents a systematic methodology for the design and secure implementation of smart homes, emphasizing structured steps from planning and analysis to deployment. The proposed methodology prioritizes cybersecurity, system flexibility, and usability to meet evolving user needs. The study demonstrates how centralized management, process automation, and open-source technologies can enhance user comfort, optimize energy consumption, and reduce operational costs. Special attention is given to the integration of various communication protocols, detailed security measures, and testing processes, ensuring reliable, scalable, and resilient smart home solutions.

The article presents a proposal of an algorithm for predicting the energy potential of a photovoltaic system. After a thorough study of real data on the amount of energy produced for the year 2022 from the photovoltaic system and meteorological data for the monitored period, a methodology for the design of a predictive solution algorithm was proposed, and subsequently the algorithm itself was developed to predict the amount of energy produced depending on meteorological data.