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在“
自然资源管理
”中,
命中:
23
条,耗时:小于0.01 秒
1.
Drought
Forecasting
using Markov Chain Model and Artificial Neural Networks
作者:
Mehdi Rezaeianzadeh
;
Alfred Stein
;
Jonathan Peter Cox
关键词:
Reservoir inflow
;
Markov chain
;
Data
;
driven
models
;
Drought
forecasting
;
Reservoir operation
;
ANN
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
2.
Irrigation Demand
Forecasting
Using Artificial Neuro-Genetic Networks
作者:
R. González Perea
;
E. Camacho Poyato
;
P. Montesinos…
关键词:
Optimal
forecasting
models
;
Artificial intelligence
;
Seasonal model update
;
Evolutionary robotics
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
3.
Hydrologic Modelling Calibration for Operational Flood
Forecasting
作者:
Juliana Mendes
;
Rodrigo Maia
关键词:
Hydrologic modelling
;
Calibration and verification
;
Accuracy
;
Runoff
;
Flood
forecasting
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
4.
Incorporating Hydrologic Routing into Reservoir Operation
Models
: Implications for Hydropower Production Planning
作者:
Nicholas Zmijewski
;
Andrea Bottacin-Busolin
;
Anders Wörman
关键词:
Simplified routing
;
Hydropower
;
Water resource optimization
;
Time
;
lag constrained
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
5.
Development of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems
作者:
Daniel Che
;
Larry W. Mays
关键词:
Flood control operation
;
Real
;
time operation
;
Optimization
;
Genetic algorithms
;
Rainfall
;
runoff
models
;
Unsteady flow routing
;
Rainfall
forecasting
;
Flood
forecasting
;
Reservoir operation
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
6.
Wavelet Genetic Algorithm-Support Vector Regression (Wavelet GA-SVR) for Monthly Flow
Forecasting
作者:
Aman Mohammad Kalteh (1)
关键词:
Genetic algorithm
;
Support vector regression
;
Monthly river flow
;
Discrete wavelet transform
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
7.
History-matching and
forecasting
tight/shale gas condensate wells using combined analytical, semi-analytical, and empirical methods
作者:
C.R. Clarksona
;
clarksoc@ucalgary.ca" class="auth_mail" title="E-mail the corresponding author
;
J.D. Williams-Kovacsb
;
c
;
F. Qanbarib
;
H. Behmaneshe
;
M. Heidari Sureshjanid
关键词:
Tight/shale gas condensate
;
History-matching
;
Forecasting
;
Analytical methods
;
Semi-analytical
;
Methods
;
Empirical methods
刊名:Journal of Natural Gas Science and Engineering
年:2015
8.
Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)
作者:
Hadi Sanikhani (1) (2) Ozgur Kisi (3) Hamed Kiafar (4) Sarvin Zaman Zad Ghavidel (5)
关键词:
Lake level fluctuations
;
Neuro
;
fuzzy
;
Grid partition
;
Subtractive clustering
;
Genetic programming
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
9.
Multi-period energy planning model under uncertainty in market prices and demands of energy resources: A case study of Korea power system
作者:
Go Bong Choi
;
Seok Goo Lee
;
Jong Min Lee
;
jongmin@snu.ac.kr" class="auth_mail" title="E-mail the corresponding author
关键词:
Energy planning
;
Mixed integer linear programming
;
Price and demand
forecasting
;
Learning curve
;
Disposal of waste
刊名:Chemical Engineering Research and Design
年:2016
10.
Water demand
forecasting
for the
optimal
operation of large-scale drinking water networks: The Barcelona Case Study.
作者:
Ajay Kumar Sampathirao*
;
Juan Manuel Grosso**
;
Pantelis Sopasakis*
;
Carlos Ocampo-Martinez**
;
Alberto Bemporad*
;
Vicenç
;
Puig**
关键词:
Demand
Forecasting
;
Model Predictive Control
;
Drinking Water Networks
;
Control of Large-Scale Systems
刊名:IFAC-PapersOnLine
年:2014
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