Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka

N Rathnayake, U Rathnayake, TL Dang, Y Hoshino - Plos one, 2023 - journals.plos.org
Hydrologic models to simulate river flows are computationally costly. In addition to the
precipitation and other meteorological time series, catchment characteristics, including soil …

Association between forecasting models' precision and nonlinear patterns of daily river flow time series

F Rahmani, MH Fattahi - Modeling Earth Systems and Environment, 2022 - Springer
The river flow forecasting is of significance to water resources management and risk
assessment. Therefore, this study explored the influences of long-term daily river flow …

Exploring the association between anomalies and multifractality variations in river flow time series

F Rahmani, MH Fattahi - Hydrological Sciences Journal, 2022 - Taylor & Francis
Monitoring and predicting river floods have always been of concern for hydrologists.
Anomalies in flow patterns alert us of upcoming events. The effect of such anomalies on the …

Robust day-ahead solar forecasting with endogenous data and sliding windows

Y Kamarianakis, Y Pantazis, E Kalligiannaki… - Journal of Renewable …, 2024 - pubs.aip.org
Renewable energy forecasting services comprise various modules for intra-day and day-
ahead forecasts. This work specifically addresses day-ahead forecasts, utilizing …

The influence of rainfall time series fractality on forecasting models' efficiency

F Rahmani, MH Fattahi - Acta Geophysica, 2022 - Springer
Forecasting rainfall time series is of great significance for hydrologists and geoscientists.
Thus, this study represents a contribution to understanding the impact of the fractal time …

A hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan

MGS Kenyi, K Yamamoto - Discover Applied Sciences, 2024 - Springer
Accurate river streamflow forecasting is pivotal for effective water resource planning,
infrastructure design, utilization, optimization, and flood planning and warning. Streamflow …