Mixed Approach for Bike Availability Forecast

IADIS International Conference e-Health 2023 (part of MCCSIS 2023)
A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.

Smart solutions for tomorrow’s energy-efficient buildings

EU-funded researchers have developed a cloud-based platform to reduce energy use in buildings and battery energy storage systems to benefit end users and utility providers.

The MegaM@ Rt2 ECSEL project: MegaModelling at Runtime–Scalable model-based framework for continuous development and runtime validation of complex systems

This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.