Intelligent cloud-based energy management system

An energy management system for monitoring and managing power distribution networks, the system comprising:

• a hierarchical power distribution network configured with a plurality of metering nodes organized across multiple hierarchical levels, wherein each level comprises one or more power meters for measuring energy usage, and wherein higher-level meters aggregate energy usage data from lower-level meters;
• a communication gateway operatively connected to the power distribution network for secure and efficient transmission of energy usage data;
• a cloud-based computing platform comprising a server for data processing and a database server for data storage, wherein the cloud-based computing platform is configured to receive transmitted energy usage data from the communication gateway;
• a machine learning algorithm executed within the server, wherein the machine learning algorithm is configured to analyze the received energy usage data, the machine learning algorithm comprising a data preprocessing module for normalizing and transforming the energy usage data, and a trained neural network model for identifying patterns and anomalies in the energy usage data;
• wherein the machine learning algorithm is further configured to generate an anomaly score for each power meter based on the analyzed data, the anomaly score is indicative of operational irregularities in the power meters;
• a user interface accessible to users through client devices, the user interface configured to display analyzed data and corresponding anomaly scores, and to enable users to make informed decisions for energy management and optimization based on the displayed data;
• a notification module within the server configured to generate and send alerts to designated customers;
• wherein the notification module is activated when the machine learning algorithm identifies that an anomaly score for a power meter exceeds a predefined threshold;
• and
• wherein the alert is transmitted to designated customers via at least one communication method selected from a group consisting of email, Short Message Service (SMS), and telephone call.