El aprendizaje automático y la inteligencia artificial informan sobre el nivel implementación de EV
Uno de los mayores retos de la gestión de grandes conjuntos de datos es garantizar que estén completos. En muchos casos, se pueden utilizar algoritmos de aprendizaje automático (ML) e inteligencia artificial (IA) para identificar con precisión y rellenar lagunas en conjuntos de datos históricos desconocidos con datos que se extrapolan de otras fuentes de datos. Hemos puesto a prueba esta técnica analizando el nivel de adopción del vehículo eléctrico (EV) en EE. UU. e identificando los estados y regiones que tienen (o tendrán) una implementación alta y baja de EV. Descubre cómo resolvieron este reto las soluciones de análisis de datos de Altair.
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Adopción del vehículo eléctrico
Dado que solo había datos de la aceptación de EV de 15 estados, la tecnología de modelado predictivo de datos de Altair aplicó aprendizaje automático para predecir los datos que faltaban y mostrar el nivel de adopción de EV en todo EE. UU.
Análisis de datos en acción
Using Machine Learning to Fill Gaps in Large Datasets
One of the essential problems involved in managing large datasets is ensuring they're complete. Many use cases, including materials databases, can use machine learning (ML) and artificial intelligence (AI) algorithms to accurately identify and fill gaps with data extrapolated from other data in the set. The datasets might contain time series data which, for example, may track the movement of components through a supply chain and/or static data like a parts inventory or test results. Altair's data science tools are well suited to this task.
Analytics for Heavy Equipment
Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair to develop a Smart Predictive Maintenance Data System (SPMDS) utilizing Knowledge Studio and Panopticon. Maintenance crews use Panopticon-powered dashboards built into SPMDS to monitor every sensor mounted on operating turbines in real time. AI models built with Knowledge Studio identify potential failures or issues that require engineering attention, and, based on that understanding, take turbines offline only when necessary.
Harnessing the Power of Big Data, AI and Simulation to Accelerate Product Innovation
In a world where everything is becoming more and more connected, Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics and simulation to accelerate innovation. Martin Ortega, Senior Design Engineer at Mabe, explains how they are using Altair's AI, data analytics and simulation solutions to uncover insights, create new business opportunities, and advance product development. Learn more - click here to read how connected products deliver big ROI.
Visualize Power Flows in Real Time
The Electric Storage Company is a Northern Ireland-based firm that manages electric power in households from renewable sources using battery storage and Internet of Things (IoT) technologies. The company installs smart batteries in homes and communities, along with sophisticated management software that lets homeowners sell excess energy back to grid operators when prices are high and helps them maintain the lowest possible energy input costs.
Managing varieties of base load and intermittent renewable power sources requires the ability to ingest, process, and analyze high frequency information emanating from the grid and thousands of devices. The company needs real-time insight into energy markets, the grid, battery systems, and generation facilities, as well as customer-level power consumption patterns. Understanding consumption and generation trends optimizes power routing and battery storage and ensures that power sold back to the grid or on the open market is fetching the best possible price.
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Análisis de datos e inteligencia artificial
Altair permite a las empresas de todo el mundo competir de manera más eficiente gracias al análisis de datos y la inteligencia artificial con estrategias seguras, gobernadas y escalables.
Simulación
Utiliza la tecnología de simulación de Altair para mejorar la eficacia del desarrollo, optimizar el rendimiento del producto y acelerar el crecimiento.
Internet de las cosas (IoT)
En un mundo en el que todo es inteligente y está conectado, Altair te permite aprovechar el poder de Internet de las cosas (IoT) para acelerar la innovación y explotar el valor comercial.