If you're looking for a solution that uses AI and machine learning to analyze real-time meter data and identify opportunities for energy savings, Bidgely UtilityAI is an excellent choice. This energy intelligence platform leverages advanced AI and machine learning models to analyze real-time meter data, identify appliance signatures, and deliver personalized insights into energy usage. It helps utilities make data-driven decisions, engage customers actively in energy management, and optimize their grid infrastructure, offering benefits such as real-time energy savings and improved customer satisfaction.
Another option is myPlant, a digital solution for managing and optimizing energy assets. It provides real-time monitoring and predictive analytics for gas engines and industrial assets and includes features like remote engine operation, customer connect, and comprehensive energy management. This platform is designed to be user-friendly, accessible through various interfaces, and ensures data security with ISO/IEC 27001 and IEC 62443-4-1 certifications. It is particularly useful for managing multiple sites or assets, aiming to reduce costs and improve efficiency.
For those looking to reduce their carbon footprint and gain actionable electricity data, Electricity Maps offers real-time, historical, and forecasted data for over 230 regions. This platform provides deep data insights and a powerful API for easy integration, supporting a variety of applications including consumer engagement and energy management. It helps increase user engagement, optimize energy consumption, and improve carbon reporting, making it a valuable tool for businesses seeking sustainable solutions.
If your focus is on usage-based billing and cloud cost management, OpenMeter offers a highly scalable solution. This open-source platform integrates with widely used programming languages and cloud infrastructure components, providing real-time customer dashboards, balances, credits, and quotas management. It is designed to help product and finance teams optimize pricing strategies and manage costs effectively, making it a strong candidate for optimizing energy consumption and energy savings.