Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation

Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation Ikerlan  Sector: Energy Business Case Energy storage plays a vital role in tackling the energy transition challenge. It enhances the management of renewable energy production and ensures the stability of the electricity system as intermittent renewable technologies become more prevalent in […]

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Inzu Group – Rotodynamic System Preventive Maintenance Optimisation (A_BHS)

Inzu Group – Rotodynamic System Preventive Maintenance Optimisation (A_BHS) Inzu Group  Sector: Industry Business Case Current maintenance of these types of systems (such as hold baggage screening systems) is either preventive (regardless of actual usage) or corrective (resulting in system downtime, lower availability and higher repair costs). The aim is to see if it is

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Lantek – Intelligent Project Optimisation

Lantek – Intelligent Project Optimisation Lantek  Sector: Industry Business Case The problem is the efficient distribution of tasks that arise in a project managed with the agile method. As the sprint progresses, employees are assigned tasks based on their availability and skills. Objectives Seek optimal scheduling in an automated manner to minimise total costs, considering

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Mondragon Unibertsitatea – Warehouse-Optimised Work Order Generation

Mondragon Unibertsitatea – Warehouse-Optimised Work Order Generation Mondragon Unibertsitatea  Sector: Logistics Business Case The challenge is to generate optimised manufacturing orders for the operators of a company that distributes industrial vehicle parts. Currently, these orders are generated almost manually and based on the experience of the person generating them. The use of optimisation techniques will

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Sener – EMS, Energy Management System, Energy Infrastructure Network Operation Optimisation

Sener – EMS, Energy Management System, Energy Infrastructure Network Operation Optimisation Sener  Sector: Energy Business Case EMS is an autopilot that makes it possible to optimally operate infrastructure networks that consume and/or produce and/or store energy. It can manage networks of any type, and with different energy carriers (electricity, gas, H2, steam, etc.). In addition

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Versia – Resource Optimisation (Material and Human)

Versia – Resource Optimisation (Material and Human) Versia  Sector: Commercial sector Business Case This is a human resources optimisation algorithm. Using data from plant operations, receipts, and other activities, along with human workload trends over time and considering the unique work calendars of each centre, it defines and predicts the required human profiles to meet

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BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning

BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning BCAM  Sector: Energy Business Case Obtaining accurate energy demand predictions is difficult due to the continuous changes in consumption patterns (concept drift). Accurate forecasts can optimise the planning of energy production as well as its distribution, resulting in efficient generation and minimising the risk

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CAF – Passenger Counter Based on Computer Vision

CAF – Passenger Counter Based on Computer Vision CAF  Sector: Mobility Business Case We propose to develop a passenger counter based on computer vision. There is currently one infrared sensor per door for passenger counting. In general, each functionality needs independent sensors. We are looking for a comprehensive solution that combines different functionalities in one

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Cardiva – Demand Forecasting and Logistics Optimisation

Cardiva – Demand Forecasting and Logistics Optimisation Cardiva  Sector: Health Business Case Cardiva is a company in the healthcare sector. Among other products, it manufactures single-use packs for operating rooms. Thanks to the digitisation of the demand management process, Cardiva has been able to service its business model and commercialise these packs under a pay-per-use

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Data Value Management – Prediction and Reduction of Micro-Stops

Data Value Management – Prediction and Reduction of Micro-Stops Data Value Management  Sector: Industry Business Case The challenge is to develop a system capable of detecting the primary causes that provoke a large number of micro-stops in the different production lines of a company, in order to reduce their occurrence. Additionally, a secondary system is

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