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solar-optimizer

Solar Optimizer is a highly efficient DC/DC converter that produces high voltage DC from low voltage battery input. Conversion loss is so low that it is now possible to use it in the low power off-grid SOLAR applications such as Solar Home System (SHS), a program promoted by IDCOL in Rural areas in Bangladesh.

solar-storage-economic-model

Code for Economic Analysis of Different Dispatch Scenarios of Solar and Storage Resources

solarhome-control-bench

open testbench for control and optimization methods for the energy management of a simple solar home

sql-solves

stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

stochasticprograms.jl

Julia package for formulating and analyzing stochastic recourse models.

stock-market-trend-analysis-using-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

storage-table-python-getting-started

This sample demonstrates how to make a use of modules provided by Microsoft Azure Table Service in Python.

storagevet

StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.

survey-data-analysis

Contains data viz, chi-square test, and logistic regression

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

teaching

tele-control-of-stepper-motor

Microcontroller-based Stepper motor Control System with Computer-based User Interface(UI) and Internet-Control Accessibility For Remote Control

telescope

Telescope is a hybrid multi-step-ahead forecasting approach based on time series decomposition.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tess

Transactive Energy Service System

test-heroku-deployment

This repository shows a simple model deployment as a web-app on heroku

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

time-series-forecasting-rnn-tensorflow

Time series forecasting

timeseries

Deep Learning repo for timeseries and sequence data

timeseriesanalysiswithpython

trem_opf_solver

A MATLAB solver for a specific family of Optimal Power Flow problems.

tsa4

R code for Time Series Analysis and Its Applications, Ed 4

tse2018-sddp

Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty

tsforecasting

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

tutorial-arima-w-jeffrey-yau