NO-CODE AI IN THE POWER AND RENEWABLE ENERGY INDUSTRY
With dramatically increased demand, consequences of international crises such as war and, climate change, and, at the same time, stricter requirements and regulations, green solutions for power and energy production are rapidly emerging.
However, the systems can be vulnerable, and downtime or accidents can have catastrophic consequences. Proper operation, maintenance, and safety of energy infrastructure are essential for production facilities, power distribution, and end consumers. With artificial intelligence technology, big data analysis, and data modeling, operators can achieve accurate and effective demand and supply forecasts, increased network flexibility, and optimized maintenance and operation of assets.
Until now, these technologies have been reserved for analysts and data scientists. But still, in many cases, the road has been long and costly before the plants can realize the value of the investments.
With no-code AI, these technologies can become tools in the hands of the process engineers, the maintenance team, operations managers, and the operators who work at the plants. With easy access to data, the ability to build sophisticated AI models without coding, and the visualization of advanced analyses, plant workers can shorten the time to value.
Read how power and energy plant companies optimize their processes, reduce emissions, increase safety, prevent accidents, and adjust the balance between power and demand.
PREDICTIVE MAINTENANCE ON CRITICAL ASSETS
Seasonal variations in weather and temperature are difficult to predict and can cause major fluctuations and challenges related to asset health.
Read about how multivariable no-code AI models are used for predictive maintenance to prevent costly and, in worst case, critical asset downtime.
TAKE THE FIRST STEP TOWARDS ADOPTING NO-CODE INDUSTRIAL AI
Intelecy is a trusted and proven industrial AI platform in the food and beverage industry. Intelecy ingests hundreds of millions of data points daily, utilized in thousands of machine learning models trained to optimize production.
Explore your data with the power of AI to get the insights needed to reach your efficiency and sustainability goals.
"With the right, user-friendly tools, maintenance and reliability engineers can use their competence of the assets to build machine learning models to monitor and understand equipment behavior.The insight puts them in a better position to eliminate unnecessary maintenance and prevent breakdowns.
This is the future of maintenance management.”
Head of digitalization, MainTech