b's repositories

alpg

Artificial Load Profile Generator for DSM

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andes

Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥

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AutoTS

Automated Time Series Forecasting

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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DeepFacade

Source code for paper DeepFacade: A Deep Learning Approach to Facade Parsing

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dl_book

legend

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dl_course_2018

The 2018 Version of the dl-course

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energy-data

List of datasets related to the topic of an upcoming hackathon

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epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

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Grid2Op

Grid2Op a testbed platform to model sequential decision making in power systems.

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irt0

zero-shot learning on infrared images for detection of thermal anomalies

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

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open_energy_data

Dieser Datenkataster soll den Einstieg in die Open Data-Landschaft der Schweiz erleichtern und eine thematische und aktuelle Übersicht über offene Energiedaten bieten.

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OpenOA

This library provides a framework for working with large timeseries data from wind plants, such as SCADA. Its development has been motivated by the WP3 Benchmarking (PRUF) project, which aims to provide a reference implementation for plant-level performance assessment.

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paccmann_predictor

PyTorch implementation of PaccMann

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Photovoltaic-Where-is-it-Best-

This repository will be used for project "Photovoltaic: Where is it Best?" for the Energy Data Hackday 2020, Brugg, Switzerland

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PV-Optimisation

Data on power generation, grid feed, grid supply and overall consumption of three power plants by AEW Energie AG

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pycom-libraries

MicroPython libraries and examples that work out of the box on Pycom's IoT modules

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pycom-micropython-sigfox

A fork of MicroPython with the ESP32 port customized to run on Pycom's IoT multi-network modules.

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RAPT-dataset

code for the iHomeLab RAPT dataset

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scholarly

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way

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ST_DeepLearning

Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"

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Swisstopo-WGS84-LV03

Scripts Swisstopo GPS WGS84 <-> LV03 (CH1903)

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urbs

A linear optimisation model for distributed energy systems

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wt-fdd

Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm

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wtphm

SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd

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