Work

Online versus batch retraining in one-step-ahead urban water demand forecasting under concept drift

Year: 2026

Type: article

Source: Water Science & Technology Water Supply

DOI: 10.2166/ws.2026.134

Authors: Lukas Hans, Dietlind Zühlke

Institutions: University of Groningen, TH Köln - University of Applied Sciences

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W7140572355

FWCI:

Cites: 25

Cited by:

Related to: 10