Work

Forecasting future states of the environment with machine learning - A case study on water scarcity: Supporting Information S1.

Year: 2024

Type: article

Abstract: This repository consists of the data and python scripts that were used to generate the figures shown in the manuscript and supporting information S2.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14262677

Author: Engberg, Niklas

Institution: Delft University of Technology

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action

Open Access status: green

Funder: European Commission

Award: Fuselage, Rear Fuselage and Empennage with Cabin and Cargo Architecture Solution validation and Technologies for H2 integration

OpenAlex ID: W6893074406

FWCI:

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