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Feifei Yang, Diego Cerrai and Emmanouil N. Anagnostou
Weather-related power outages affect millions of utility customers every year. Predicting storm outages with lead times of up to five days could help utilities to allocate crews and resources and devise cost-effective restoration plans that meet the stri...
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Soon-Kyo Lee, Seung Ho Yoo and Taesu Cheong
In this paper, we examine a sustainable economic order quantity (S-EOQ) problem with a stochastic lead-time and multi-modal transportation options. With the S-EOQ, decisions of order quantities, as well as a reorder point could be influenced by various f...
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Gökçen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg and Aynur Sensoy
Optimal control of reservoirs is a challenging task due to conflicting objectives, complex system structure, and uncertainties in the system. Real time control decisions suffer from streamflow forecast uncertainty. This study aims to use Probabilistic St...
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Gökçen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg and Aynur Sensoy
Optimal control of reservoirs is a challenging task due to conflicting objectives, complex system structure, and uncertainties in the system. Real time control decisions suffer from streamflow forecast uncertainty. This study aims to use Probabilistic St...
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Jun Wang, Zhongmin Liang, Xiaolei Jiang, Binquan Li, Li Chen
Pág. 1 - 16
Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide varie...
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Jun Wang, Zhongmin Liang, Xiaolei Jiang, Binquan Li and Li Chen
Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide varie...
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Chien-Lin Huang, Nien-Sheng Hsu and Chih-Chiang Wei
This study applies Real-Time Recurrent Learning Neural Network (RTRLNN) and Adaptive Network-based Fuzzy Inference System (ANFIS) with novel heuristic techniques to develop an advanced prediction model of accumulated total inflow of a reservoir in order ...
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Min Roh, Hyung-Suk Kim, Pil-Hun Chang and Sang-Myeong Oh
A wave forecast numerical simulation was performed for Typhoon Lingling around the Korean Peninsula and in the East Asia region using sea winds from 24 members produced by the Ensemble Prediction System for Global (EPSG) of Korea Meteorological Administr...
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Pawel Wiecek
Pág. 164 - 171
The article presents a proposal for a combined application of fuzzy logic and genetic algorithms to control the procurement process in the enterprise. The approach presented in this paper draws particular attention to the impact of external random factor...
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Md Abdullah Al Mehedi, Marzieh Khosravi, Munshi Md Shafwat Yazdan and Hanieh Shabanian
River flow prediction is a pivotal task in the field of water resource management during the era of rapid climate change. The highly dynamic and evolving nature of the climatic variables, e.g., precipitation, has a significant impact on the temporal dist...
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Ageel Abdulaziz Alogla, Martin Baumers, Christopher Tuck and Waiel Elmadih
There is an increasing need for supply chains that can rapidly respond to fluctuating demands and can provide customised products. This supply chain design requires the development of flexibility as a critical capability. To this end, firms are consideri...
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S. M. Kirthiga,N. R. Patel
Pág. 165 - 183
Land surface processes play a critical role in governing the surface energy partitioning and the atmospheric circulation within a climate system. Improper representations of present land state, particularly spatially specific fields such as land cover, t...
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Saskia Gindraux and Daniel Farinotti
Runoff predictions are affected by several uncertainties. Among the most important ones is the uncertainty in meteorological forcing. We investigated the skill propagation of meteorological to runoff forecasts in an idealized experiment using synthetic d...
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Minxue He, Brett Whitin, Robert Hartman, Arthur Henkel, Peter Fickenschers, Scott Staggs, Andy Morin, Michael Imgarten, Alan Haynes and Mitchel Russo
This study verifies the skill and reliability of ensemble water supply forecasts issued by an innovative operational Hydrologic Ensemble Forecast Service (HEFS) of the U.S. National Weather Service (NWS) at eight Sierra Nevada watersheds in the State of ...
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