VIRIDIS DEMAND

Precise energy forecasting to avoid resource imbalances and penalties

Industrial plants often face stringent agreements with utility providers that require precise short-term consumption predictions to avoid penalties. Managing energy consumption for different grids like electricity, water, and natural gas under varying production conditions poses significant challenges. Deviations from contractual thresholds can result in substantial financial penalties and inefficiencies, necessitating a robust solution for accurate demand forecasting and resource management.



Viridis Demand addresses these challenges by leveraging production scheduling to provide highly accurate and flexible energy consumption forecasts. The system offers different prediction horizons and granularities, utilizing planned production orders for short-term accuracy and production plans or sales orders for long-term predictions. This comprehensive approach ensures precise forecasting across various grids, helping plants stay within contractual limits and avoiding resources shortages or overloads.


By utilizing real-time production schedules, Viridis Demand provides forecasts that are directly aligned with current and upcoming production activities, leading to more accurate predictions compared to historical data that may not reflect current operational conditions. Furthermore, the solution allows to detect potential deviations from contractual thresholds at an early stage, providing contextualized information for informed decision-making. By integrating advanced machine learning models and real-time data analysis, Viridis Demand ensures that steelmaking plants can efficiently manage their energy consumption,maintain compliance with utility agreements, avoid penalties – and ultimately drive operational efficiency which leads to cost savings.


Customer challenges addressed:


  • Avoid costly penalties in the dynamic context of production
  • Ensure efficient resource allocation based on production scheduling
  • Provide precise short-term forecasts leveraging planned production orders
  • Benefit from long-term predictions using production plans or sales orders
  • Handle multiple grids, including electricity, water, and natural gas and avoid resource shortages or overloads



Key features:

Utilizes detailed production scheduling for accurate predictions across various time horizons and granularities using AutoML models
Reduces distribution issues due to resource shortage or overload
Forecasts energy consumption for multiple grids, including electricity, water, and natural gas
Continuously monitors consumption levels and alerts users when they are at risk of exceeding contractual thresholds
Provides real-time, contextualized information to empower decision-makers in optimizing resource usage and avoiding penalties


Highlights:


Data collection

Viridis Demand addresses industry challenges in data collection


Viridis Demand maximizes efficiency by leveraging the Viridis Suite and industrial ready-to-use connectors, enabling seamless data collection from various sources within industrial complexes. It also offers an Software Development Kit for expanding connector options and includes built-in data cleansing functionality.


Robust forecasting


Forecasting consumption based on production scheduling



By utilizing real-time production schedules, Viridis Demand provides forecasts that are directly aligned with current and upcoming production activities, leading to more accurate predictions compared to historical data that may not reflect current operational conditions.


The system can quickly adjust forecasts based on changes in production plans or sales orders, ensuring that predictions remain accurate even in dynamic environments.


Real-time monitoring


Real-time monitoring enables proactive management.


Continuous monitoring allows for immediate detection of potential deviations from expected consumption patterns, enabling proactive management and quick decision-making to avoid penalties.


The system provides contextualized information and alerts when consumption is likely to exceed contractual thresholds, helping users to take timely corrective actions.




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