ywaterx's starred repositories
pyDecision
pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.
Aquatect
Created and optimized an ensemble learning model that combines the power of Support Vector Machine (SVM), k-Nearest Neighbors, Linear Regression, Decision Tree, and Random Forest models, with Linear Regression as the central meta-model. This ensemble approach significantly enhanced the accuracy of reservoir inflow predictions, contributing to more.
nechi-reservoir-network
This repository contains an operational model of the reservoir network in the Nechí catchment, Colombia, and a decision making component simulating operational strategies depending on 12 optimization parameters. For detailed documentation of the models and the results see the publication (Ritter et. al, 2020) linked in the below website.
Reservoir-Simulation-and-Optimization-models
Simple Reservoir Simulation Problem based on Water Balance, and different Optimization example models
MHA-Workshop
Simulation and multi-objective optimization of the operation of a reservoir system
16.02.22.Multiobjective
The latest version (2024) of the multi-objective multi-reservoir Zambezi River Basin model, using the EMODPS framework.
crop_optimization_paper
Optimization models of the paper:
water_allocation_model
Multi-objective optimization for water resources
Reservoir-Optimization-PEC
Reservoir Optimization Project, PEC-CDAC-MEITY
Cascading_Reservoir_Example
Useful example for optimization
HydroBID-Opt
Reservoir Optimization Model
Precipitation-Data-GHCN-station-observations
GHCN station observation data of daily precipitation
data-imputation-paper
Research code for the paper "A Benchmark for Data Imputation Methods".
pyMultiobjective
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III