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在“
自然资源管理
”中,
命中:
27
条,耗时:小于0.01 秒
1.
Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model
作者:
Raheleh Arabgol
;
Majid Sartaj
;
Keyvan Asghari
关键词:
Support vector machines
;
Nitrate concentration
;
Groundwater quality
;
Cross
;
validation
;
Grid
search
刊名:Environmental Modeling & Assessment
出版者:Springer Netherlands
年:2016
2.
Simultaneous allocation of distributed energy resource using improved particle swarm optimization
作者:
Neeraj Kanwara
;
Nikhil Guptaa
;
K.R. Niazia
;
Anil Swarnkara
;
R.C. Bansalb
;
rcbansal@ieee.org
关键词:
Distributed energy resources
;
Distribution network reconfiguration
;
Improved particle swarm optimization
;
Guided
search
algorithm
;
Smart
grid
s
刊名:Applied Energy
年:2017
3.
An integrated approach for distributed resource allocation and network reconfiguration considering load diversity among customers
作者:
Neeraj Kanwar nk12.mnit@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Nikhil Gupta
;
nikhil2007_mnit@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
K.R. Niazi krn152001@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author
;
Anil Swarnkar mnit.anil@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Customers&rsquo
;
load patterns
;
Distributed energy resources
;
Distribution network reconfiguration
;
Teaching-learning based optimization
;
Smart
grid
刊名:Sustainable Energy,
Grid
s and Networks
年:2016
4.
Re
search
on
Grid
Resource Search Mode
作者:
Li Guangming
;
hei168@163.com
关键词:
grid
;
resources
search
;
A* algorthm
刊名:Energy Procedia
年:2011
5.
A chaos embedded GSA-SVM hybrid system for classification
作者:
Chaoshun Li (1) (2) Xueli An (1) Ruhai Li (2) 1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin
;
China Institute of Water Resources and Hydropower Re
search
;
Beijing
;
100044
;
China 2. School of Hydropower and Information Engineering
;
Huazhong University of Science and Technology
;
Wuhan
;
430074
;
China
关键词:
Support vector machine
;
Gravitational
search
algorithm
;
Chaotic
search
;
Parameter optimization
;
Feature selection
刊名:Neural Computing & Applications
出版者:Springer London
年:2015
6.
Big Data Processing for Renewable Energy Telemetry Using a Decentralized Cloud M2M System
作者:
George Suciu
;
Alexandru Vulpe
;
Alexandru Martian…
关键词:
Cloud
;
IoT
;
Big data
;
M2M
;
Renewable energy
刊名:Wireless Personal Communications
出版者:Springer Netherlands
年:2016
7.
Optimal proportion of wind and PV capacity in provincial power systems based on bilevel optimization algorithm under low-carbon economy
作者:
Yue Yuan (1) Yang CAO (1) Xinsong ZHANG (2) Chun LIU (3) Yuehui HUANG (3) Peng LI (3) Kejun QIAN (4) 1. College of Energy and Electrical Engineering
;
Hohai University
;
Nanjing
;
211100
;
China 2. College of Electrical Engineering
;
Nantong University
;
Nantong
;
226019
;
China 3. China Electrical Power Re
search
Institute
;
Beijing
;
100192
;
China 4. Suzhou Power Supply Company
;
State
Grid
Corporation of China
;
Suzhou
;
215004
;
China
关键词:
Time
;
sequence production simulation
;
Optimal proportion of renewable energy
;
Pattern
search
method
;
General algebraic modeling system
刊名:Journal of Modern Power Systems and Clean Energy
出版者:Springer Berlin Heidelberg
年:2015
8.
A Smart Pool
Search
Matheuristic for Solving a Multi-objective Micro
grid
Storage Planning Problem
作者:
Vitor N. Coelhoa
;
b
;
1
;
vncoelho@ufmg.br
;
vncoelho@gmail.com
;
Igor M. Coelhob
;
c
;
Bruno N. Coelhob
;
Marcone J.F. Souzad
;
Haroldo Gambinid
;
N. Mladenoviće
;
f
;
Frederico G. Guimarã
;
esg
关键词:
Micro
grid
s
;
Power dispatching
;
Energy storage management
;
Matheuristic
;
Mixed-Integer Linear Programming
;
Multi-objetive optimization
刊名:Energy Procedia
年:2016
9.
Integration of Shuffled Frog Leaping Algorithm and Support Vector Regression for Prediction of Water Quality Parameters
作者:
N. Mahmoudi
;
H. Orouji
;
E. Fallah-Mehdipour
关键词:
Support vector regression (SVR)
;
Shuffled frog leaping algorithm (SFLA)
;
Water quality prediction
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
10.
Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-
grid
作者:
J. Soares
;
T. Sousa
;
H. Morais
;
Z. Vale
;
B. Canizes
;
A. Silva
关键词:
Application specific algorithm
;
Hard combinatorial scheduling
;
Particle Swarm Optimization
;
Vehicle-to-
grid
scheduling
刊名:Applied Soft Computing Journal
年:2013
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