Publications associées à Forecast skill

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Joseph Chadi Benoit Lemaitre, Pan Xu, Weitong Zhang, Wei Cao, Myungjin Kim, Shan Yu, Xinyi Li, Lei Gao

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and ...

Public Library Science2024

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Ekaterina Krymova, Nicola Parolini, Andrea Kraus, David Kraus, Daniel Lopez, Markus Scholz, Tao Sun

Background:Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive p ...

eLIFE SCIENCES PUBL LTD2023

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Athanasios Nenes, Paraskevi Georgakaki

Representing single or multi-layered mixed-phase clouds (MPCs) accurately in global climate models (GCMs) is critical for capturing climate sensitivity and Arctic amplification. Ice multiplication, or secondary ice production (SIP), can increase the ice cr ...

2023

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Ekaterina Krymova, Markus Scholz

Background During the COVID-19 pandemic there has been a strong interest in forecasts of the short-term development of epidemiological indicators to inform decision makers. In this study we evaluate probabilistic real-time predictions of confirmed cases an ...

London2022

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Maryam Kamgarpour, Eduardo Andres Enderiz

Convective weather and its inherent uncertainty constitute one of the major challenges in the air traffic management (ATM) system, entailing both safety hazards and economic losses. In the present work, we propose a stochastic algorithm for trajectory plan ...

2021

Waste collection inventory routing with non-stationary stochastic demands

Michel Bierlaire, Sacha Varone, Mohammad Yousef Maknoon, Iliya Dimitrov Markov

We solve a rich routing problem inspired from practice, in which a heterogeneous fixed fleet is used for collecting recyclable waste from large containers over a finite planning horizon. Each container is equipped with a sensor that communicates its level ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Marcos Rubinstein, Amirhossein Mostajabi

Article Open Access Published: 08 November 2019 Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques Amirhossein Mostajabi, Declan L. Finney, Marcos Rubinstein & Farhad Rachidi npj Climate and ...

2019

Balancing wind-power fluctuation via onsite storage under uncertainty: Power-to-hydrogen-to-power versus lithium battery

François Maréchal, Jan Van Herle, Ligang Wang, Yumeng Zhang

Imbalance costs caused by forecasting errors are considerable for grid-connected wind farms. In order to reduce such costs, two onsite storage technologies, i.e., power-to-hydrogen-to-power and lithium battery, are investigated considering 14 uncertain tec ...

2019

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Forecast skill

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Waste collection inventory routing with non-stationary stochastic demands

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Balancing wind-power fluctuation via onsite storage under uncertainty: Power-to-hydrogen-to-power versus lithium battery

Improvement and implementation of a flow forecasting system for Southern Africa

Implementation and Performance Analysis of the Lightning Potential Index as a Forecasting Tool

Graph Chatbot

Chattez avec Graph Search

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Waste collection inventory routing with non-stationary stochastic demands

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Improvement and implementation of a flow forecasting system for Southern Africa

Implementation and Performance Analysis of the Lightning Potential Index as a Forecasting Tool

Balancing wind-power fluctuation via onsite storage under uncertainty: Power-to-hydrogen-to-power versus lithium battery

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques