It is vital for Utilities & Grid Operators, as well as the facility functions of large industrial energy users, to understand the health of Transformers in their networks and receive early indicators if a particular Transformer is overloaded. Our newest insight is now available to identify Transformers that are already overloaded or are at risk of being overloaded. Using this insight will assist in preventing damage as well as degradation of transformer lifespan, thereby minimizing safety risks, as well as driving optimal resource utilization, thus ultimately improving the reliability of the grid.
Our advanced AI extracts over 30 Insights from every meter, identifying and categorizing the load and generation types that reside Behind the Meter (BTM).
Users can quickly explore vast data sets, identifying those meters with the highest relevance to their business objectives. For example, the highest ranked customers in terms of Photovoltaic (PV) suitability in a particular ZIP code, or the feeders subject to challenging usage patterns resulting from accelerating electrification.
The grid transition is changing how and when electricity is generated and consumed. This makes planning and operating the grid, managing trading risk and reducing scope 2 emissions increasingly challenging. Innowatts BTM Identification provides meter level visibility to which meters have Electric Vehicles (EVs), PhotoVoltaics (PVs) and Heat Pumps. We use these Insights to inform our forecasts, identify flexibility, and provide our customers the data they need to understand and target the end users with appropriate products and services.
Understanding how each meter’s load changes in relation to each degree increase or decrease in temperature is a key input into our award winning forecasts. This Insight can be used by our customers to identify which meters are best suited for various interventions and products. For example, the deployment of local storage or if they are suited for thermal measures including the provision of upgraded HVAC for efficiency, increased insulation, pre-heating / cooling routines etc.
This easy to use feature is a must-have for teams buying and selling on the power market. Innowatts’ Wholesale Settlements solution allows for the automated capture of wholesale charges, reconciliation and native integration with industry-leading billing providers, allocation of charges against your portfolio at the meter level, and allocation using estimated calendarized consumption. This important capability enables your organization to reduce manual work and improve operational efficiency, while leveraging meter level data to accurately allocate charges.
Employing 50 million meters and two of the best Risk Management and Demand Insight solutions in the power and energy industry, our Mark-to-Market capability is as comprehensive as you will find. Armed with various pricing scenarios and data-backed examples, the Innowatts’ Mark-to-Market Insight will give you and your team an accurate assessment of where you stand.
With the drive to net zero and the increasing reliance on renewable energy, matching supply to demand is becoming increasingly challenging. To counter this, market mechanisms to support load flexibility are on the rise. As the balance shifts from thermal to renewable generation, participants need to access the flexibility of smaller and more distributed devices. Innowatts BTM Insights identify which meters have optionality now and in the future. Alerts from these Insights can be pushed to control systems to drive action.
Take an extensive look at your customer base and understand what makes the most economic sense for you and your customers with our Profitability Analysis Insight. By examining granular, meter level data, our analysis provides detailed segmentation of customer behavior based on variables including peak contribution, weather intensity, energy intensity, and economic value. These Insights allow for improved energy plan options while meeting and exceeding reliability and affordability goals.
The changing nature of LV load and generation is challenging traditional planning and operational models. Innowatts AI extracts Insights to identify where Electric Vehicles (EVs), PhotoVoltaics (PVs), Batteries, and Heat Pumps have been deployed and their associated usage profiles. Our Forecasting and Scenario solutions are used to predict when and to what extent thresholds will be breached and to model for a variety of scenarios. Used in conjunction with our Alerting functionality, notifications can be triggered to individuals or upstream services to take action.