Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers

Multi-horizon Irradiation Forecasting Using Time Series Models

As fossil fuels combustion poses a real public health problem, PV and wind energy sources seem good alternatives. The main advantage is the renewable and inexhaustible aspects and the main disadvantages are related to their intermittencies. This paper deals with a solution to solve this problem: the forecasting of the renewable energy sources and more precisely the forecasting of solar irradiat...

Flood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique

Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...

Multi-period and multi-resource operating room scheduling and rescheduling using a rolling horizon approach: a case study

In this paper, a multi-period and multi-resource operating room (OR) scheduling and rescheduling problem with elective and semi-elective (semi-urgent) patients is addressed. A scheduling-rescheduling framework based on the so-called rolling horizon approach is proposed to solve the problem. The core of the proposed framework is a novel proposed mixed-integer linear programming (MILP) model with...

A Multi-features Fusion of Multi-temporal Hyperspectral Images using a Cooperative GDD/SVM Method

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models

Considering the grid manager's point of view,needsin terms ofprediction of intermittent energy like thephotovoltaic resourcecan be distinguishedaccording to theconsideredhorizon: following days (d+1, d+2 and d+3), next day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.). Through this work, we haveidentified methodologies using time series modelsfor thepredictionhorizonof ...