Novatech NESSi is a cloud-based Software-as-a-Service (SaaS solution that utilizes artificial intelligence (AI and machine learning (ML to assist energy companies in forecasting energy consumption and greenhouse gas emissions. By analyzing historical operational data, NESSi generates predictive models that project future emissions for individual or multiple assets. The platform includes a comprehensive library of emissions reduction measures, enabling users to simulate various mitigation strategies and assess their impact on energy needs, emissions outputs, and associated carbon costs. This empowers companies to make informed, data-driven decisions to effectively reduce their environmental footprint.
Key Features and Functionality:
- AI/ML-Driven Forecasting: Employs advanced algorithms to predict future energy consumption and emissions based on historical data patterns.
- Emissions Reduction Library: Offers an extensive collection of mitigation measures that can be applied to forecasted scenarios to explore different emissions reduction options.
- Scenario Simulation: Allows users to model the impact of various reduction strategies on future operations, analyzing effects on energy requirements, emissions outputs, and carbon costs.
- Interactive Visualization: Provides intuitive charts and graphs to visualize forecasts, scenarios, and mitigation insights, facilitating strategic planning.
Primary Value and Problem Solved:
NESSi addresses the critical need for energy companies to align with sustainability objectives and regulatory requirements by providing a robust tool for emissions forecasting and reduction planning. By enabling the simulation of various decarbonization scenarios, NESSi helps organizations identify the most effective strategies to achieve net-zero emissions targets, enhance operational efficiency, and reduce costs associated with carbon output. This strategic support is essential for companies aiming to improve their environmental performance and maintain compliance in an increasingly eco-conscious market.
