kit-iai Goto Github PK

automating-value-oriented-forecast-model-selection-by-meta-learning

controllabletimeseriesgeneration

coping-with-concept-drift-using-profiles

Coping with Concept Drift using Profiles

copypasteimputation

customized-uq-of-parking-duration-predictions

Code to recreate the error metrics and plots from our paper "Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging"

dcsopf

decision-focused-retraining

django-oauth2-authcodeflow

Authenticate with any OpenId Connect/Oauth2 provider through authorization code flow. PKCE is also supported

easymlserve

enhancinganomalydetectionmethods

EnhancingAnomalyDetectionMethods

epowcore

A Generic Representation of Power Grids Enabling Open-Source Model Conversion Modules

esax

Python implementation of Energy Time Series Motif Discovery using Symbolic Aggregated Approximation (eSAX)

evaluatingensemblepostprocessing

generatingsyntheticenergypoweranomalies

Python Implementation of Generating Synthetic Anomalies for Energy and Power Time Series

gleam

GLEAM is an Evolutionary Algorithm of its own and HyGLEAM is its memetic extension.

gmltoolbox

gmltoolbox-src

gmltoolbox-tsdiagram

gossen-heat-pump

gps-toolkit

impact-of-forecast-characteristics-on-forecast-value-for-dispatchable-feeder

line-management-epgrid

losscustomisedprobabilisticforecasts

Code to replicate the results from the paper "Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation"

managinganomaliesintimeseriesforecasting

napalm-s350

nautobot-plugin-dns-records

nautobot-plugin-ssot-netvs

netloadforecasting

probabilisticforecastsfromarbitrarypointforecasts

This repository provides code to replicate results from the paper Generating Probabilistic Forecasts from Arbitrary Point Forecasts Using a Conditional Invertible Neural Network

pyapi-rts

A Python library to read and manipulate RSCAD draft files.