Improving Tutigy UmivaianNG IN LEANiau Pvwti Piants Using Ivi Аци ШАНШЕ

The Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the electric power industry and has enabled efficient, secure, and cost-effective processes. IoT-enabled technologies are transforming the way energy is generated, distributed, and consumed. IoT provides a platform to collect, analyze, and share data from various sources and to enable better decision-making. AI-based technologies help to monitor and optimize the performance of the energy grid and enables the tracking of energy usage in real-time. Additionally, the implementation of IoT solutions has made it possible to detect potential faults and failures faster, ensuring a reliable and safe energy delivery. The application of IoT and AI technologies have also enabled the emergence of a “Smart Grid", which is an intelligent and highly automated energy distribution network. Smart Grids use advanced analytics and machine learning to optimize energy production and consumption. This allows for better energy management and increases the reliability of the power grid. In conclusion, the power industry is rapidly changing due to the introduction of IoT and AI technology. IoT and AI are helping to improve the efficiency, safety, and reliability of the energy grid. It is also helping to reduce energy wastage and costs. As the technology evolves, it is expected that more sophisticated applications of IoT and AI will be seen in the power industry, leading to further improvements in energy production, distribution, and consumption. To improve energy imbalance in Iranian power plants, the performance accuracy of three machine learning algorithms has been examined: the Linear Regression (LR) algorithm with a performance accuracy of ۸۸.۲ %, the ANN algorithm with a performance accuracy of ۸۹.۱ %, and the K-nearest neighbor (KNN) algorithm with an accuracy of ۶۶ %.

کلیدواژه ها:

Linear Regression (LR) ، Artificial Neural Network (ANN) ، KNN ، Internet of Things (IoT) ، Artificial Intelligence (AI) ، Machine Learning (ML) algorithms ، energy imbalance