An evaluation of time series forecasting models on water consumption data: A case study of Greece

03/30/2023
by   Ioannis Kontopoulos, et al.
0

In recent years, the increased urbanization and industrialization has led to a rising water demand and resources, thus increasing the gap between demand and supply. Proper water distribution and forecasting of water consumption are key factors in mitigating the imbalance of supply and demand by improving operations, planning and management of water resources. To this end, in this paper, several well-known forecasting algorithms are evaluated over time series, water consumption data from Greece, a country with diverse socio-economic and urbanization issues. The forecasting algorithms are evaluated on a real-world dataset provided by the Water Supply and Sewerage Company of Greece revealing key insights about each algorithm and its use.

READ FULL TEXT

page 9

page 10

page 11

page 12

05/18/2021

Univariate Long-Term Municipal Water Demand Forecasting

This study describes an investigation into the modelling of citywide wat...
09/09/2018

Leveraging Elastic Demand for Forecasting

Demand variance can result in a mismatch between planned supply and actu...
12/25/2020

Technical Report: Flushing Strategies in Drinking Water Systems

Drinking water supply and distribution systems are critical infrastructu...
02/27/2020

How Much Can A Retailer Sell? Sales Forecasting on Tmall

Time-series forecasting is an important task in both academic and indust...
09/17/2021

Feasibility of roof top rainwater harvesting potential - A case study of South Indian University

Shortage of water source has been a major problem for rapidly growing ci...
05/08/2019

Automatic multiscale approach for water networks partitioning into dynamic district metered areas

This paper presents a novel methodology to automatically split a water d...

Please sign up or login with your details

Forgot password? Click here to reset