Seasonal drought prediction: Advances, challenges, and future prospects
Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
[HTML][HTML] Model-predictive control of mixed-mode buildings with rule extraction
P May-Ostendorp, GP Henze, CD Corbin… - Building and …, 2011 - Elsevier
A series of model-predictive control (MPC) techniques have been explored for optimizing
control sequences for window operation in mixed-mode (MM) buildings using EnergyPlus …
control sequences for window operation in mixed-mode (MM) buildings using EnergyPlus …
Assessing the new Natural Resources Conservation Service water supply forecast model for the American West: A challenging test of explainable, automated …
SW Fleming, DC Garen, AG Goodbody, CS McCarthy… - Journal of …, 2021 - Elsevier
Western US water management is underpinned by spring-summer water supply forecasts
(WSFs) from hydrologic models forced primarily by winter mountain snowpack data. The US …
(WSFs) from hydrologic models forced primarily by winter mountain snowpack data. The US …
Attribute-based safety risk assessment. II: Predicting safety outcomes using generalized linear models
B Esmaeili, MR Hallowell… - Journal of construction …, 2015 - ascelibrary.org
One of the recent advancements in preconstruction safety management is the identification
and quantification of risks associated with fundamental attributes of construction work …
and quantification of risks associated with fundamental attributes of construction work …
Reliable long‐range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model
We present a new streamflow forecasting system called forecast guided stochastic scenarios
(FoGSS). FoGSS makes use of ensemble seasonal precipitation forecasts from a coupled …
(FoGSS). FoGSS makes use of ensemble seasonal precipitation forecasts from a coupled …
[HTML][HTML] Increasing streamflow forecast lead time for snowmelt-driven catchment based on large-scale climate patterns
This study focuses on improving the spring–summer streamflow forecast lead time using
large scale climate patterns. An artificial intelligence type data-driven model, Support Vector …
large scale climate patterns. An artificial intelligence type data-driven model, Support Vector …
Using large‐scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River Basins
In a water‐stressed region, such as the western United States, it is essential to have long
lead times for streamflow forecasts used in reservoir operations and water resources …
lead times for streamflow forecasts used in reservoir operations and water resources …
Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
The potential of the most recent pre-processing tool, namely, complete ensemble empirical
mode decomposition with adaptive noise (CEEMDAN), is examined for providing AI models …
mode decomposition with adaptive noise (CEEMDAN), is examined for providing AI models …
[HTML][HTML] Application of artificial neural network ensembles in probabilistic hydrological forecasting
S Araghinejad, M Azmi, M Kholghi - Journal of Hydrology, 2011 - Elsevier
Ensemble techniques are used in regression/classification tasks with considerable success.
Due to the flexible geometry of artificial neural networks (ANNs), they have been recognized …
Due to the flexible geometry of artificial neural networks (ANNs), they have been recognized …
SNOTEL, the soil climate analysis network, and water supply forecasting at the natural resources conservation service: Past, present, and future
SW Fleming, L Zukiewicz, ML Strobel… - JAWRA Journal of …, 2023 - Wiley Online Library
Abstract The Snow Survey and Water Supply Forecasting (SSWSF) Program and the Soil
Climate Analysis Network (SCAN) of the United States Department of Agriculture's Natural …
Climate Analysis Network (SCAN) of the United States Department of Agriculture's Natural …