London

Jack Kelly

Elite
@JackKelly

Using computer science to mitigate climate change (well: trying to, anyway!) Currently working on solar power forecasting.

neuralnilm. Deep Neural Networks Applied to Energy Disaggregation

160

climate-change-mitigation. Using computer science to mitigate climate change: lists of topics, conferences, etc.

97

light-speed-io. Read & decompress many chunks of files at high speed

67

neuralnilm_prototype. Jupyter Notebook

57

hypergrib. Lazily open petabyte-scale GRIB datasets consisting of trillions of GRIB messages from xarray

46

bayesianchangepoint. An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"

31

rfm_edf_ecomanager. Communicate with EDF EcoManager Transmitter Plugs; Whole House TX and CurrentCost Whole House TX using a 433MHz RFM12b and a ATmega328 micro controller

30

lets_make_it_super_easy_to_use_weather_forecast_data. Let's make it super easy to use weather forecast data

22

UK-DALE_metadata. Metadata for my UK Domestic Appliance-Level Electricity (UK-DALE) dataset

16

rfm_ecomanager_logger. Python front-end for the rfm_edf_ecomanager RF base unit

13

ukdale_plots. Plots (using NILMTK) for my UK-DALE dataset paper

12

snd_card_power_meter. An electricity meter using a sound card to digitise signals from current transformer probes and AC-AC adapters.

10

linux_home. Config files in my Linux home directory

9

BuildSys_2015_NeuralNILM. Presentation of Neural NILM for BuildSys 2015 conference in November 2015

7

reference-library. My academic reference library in BibLaTeX format

6

rfm_current_cost. An attempt to build a DIY receiver for Current Cost transmitters

4

currentCostCosmTX. Simple script to send data from a Current Cost to Cosm

4

cosmSender. Python class to send data to Cosm. Caches data to minimise API requests and to protect against network errors.

4

PGM. Helper functions for free online Stanford Probabilistic Graphical Modelling course

4

domesticPowerData. Electricity power consumption data recorded from two domestic houses

4

slicedpy. SlicedPy: Estimate the energy consumed by individual appliances from whole-house power meter readings.

3

iam_logger. Current Cost Individual Appliance Monitor (IAM) logger. Handles multiple current cost monitors using multiple threads.

3

ukdale_utils. Utilities for UK-DALE dataset

2

LaTeX. LaTeX bits and bobs

2

pda. Power Data Analysis: finding correlations and patterns in domestic electricity data

2

StressAndLog. Stress a Linux machine whilst logging utilisation and power consumption using a WattsUp meter

2

JackKelly.github.io. My new blog; using Jekyll.

2

awesome-public-datasets. An awesome list of high-quality open datasets in public domains (on-going).

2

matplotlib. Python

1

babysitter. Monitor disk space, multiple files and multiple processes. If errors are found then an email is sent and corrective action may be taken.

1

CurrentCostLogger. A simple Perl script for logging data from the Current Cost EnviR

1

neuralnilm_plots. Generating figures for illustrating Neural NILM

1

EFL_talk. To view this presentation in your browser, go to:

1

migration-from-drupal-to-jekyll. Move blog from Drupal 7 to Jekyll

1

clean_uk_pv. Cleaning the solar power dataset "uk_pv"

1

NILM_Workshop_talk_2016. Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"

1

mechanic. My Eclipse (with PyDev & Aptana) settings (as saved by Workspace Mechanic)

1

Sustainable-OSM-maps. Tools to create pretty maps of sustainable living features from OpenStreetMap

1

UCL_effectiveness_of_disag_talk. Slides for my talk on "Do disaggregated electricity bills really help people to save energy?"

1

powerstats. Produce simple stats for REDD-formatted electricity power consumption log files

1

owfsCosmTX. Transmit readings from a 1-wire network to Pachube

1

Electricity-load-disaggregation. Smart meter load disaggregation with Hidden Markov Models

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