moredataset / mored

A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).

Brief Description

Since spring of 2019, a data acquisition campaign is being conducted to collect data reflecting the electricity consumption of different urban premises in different Moroccan cities. MORED is the first open African dataset of buildings' electricity consumption. It contains labelled WP and IL ground-truth consumption data, labelled IL signatures, and WP consumption data of several Morccan households and Loads. The aim for providing such a dataset is to continue the progress that the field of energy disaggregation knew in the previous decade, by providing a dataset that has more data and utilises the field's recent advances.

MORED offers the following consumption data:

• Labelled WP and IL goround-truth electricity consumption
• WP electricity consumption
• IL signatures

Details about acquired data

WP and ILGT data

	Properties	1	2	3	4	5	6	7
Premises	Affluent neighborhood apartment	.	.	.	✓	✓	✓	✓
	Affluent neighborhood semi-detached house	.	✓	.	.	.	.	.
	Disadvantaged neighborhood apartment	✓	.	✓	.	.	.	.
	City	Sale	Sale	Sale	Tetúan	Rabat	Tetúan	Tetúan
	Number of occupants	2	7	5	3	2	4	1
	Number of elderly (>65)	0	0	0	0	0	0	0
	Number of adults (<65 and >18)	2	4	4	3	2	3	1
	Number of rooms	5	5	5	5	5	6	3
	Number of floors	1	3	1	1	1	1	1
	Area (m2)	50	100	70	103	100	103	103
	Ownership	R	B	R	B	R	B	B
WP measurements	Sampling rate (S/s)	1/5	1/5	1/5	1/5	1/5	1/5	1/5
	Total acquisition duration (days)	24	14	80	60	44	40	90
	Mean daily consumption (kW)	110	115	220	281	280	295	206
IL ground-truth measurements	Sampling rate (S/s)	1/5	1/5	1/5	1/5	1/5	1/5	1/5
	Total number of monitored Loads	8	3	3	4	7	3	2

WP data

Properties	Premises 1	Premises 2	Premises 3	Premises 4	Premises 5	Premises 6	Premises 7
Affluent neighborhood apartment	.	.	.	.	.	.	✓
Affluent neighborhood semi-detached house	.	.	.	.	.	✓	.
Disadvantaged neighborhood apartment	✓	✓	✓	✓	✓	.	.
City of residence	Sale	Sale	Sale	Sale	Sale	Sale	Tetúan
Number of occupants	2	3	8	4	2	2	3
Number of elderly (>65)	0	0	0	0	2	0	0
Number of adults (<65 and >18)	2	3	5	4	0	2	3
Number of rooms	5	5	5	5	5	5	3
Number of floors	1	1	1	1	1	2	1
Area (m2)	50	50	50	50	50	100	103
Ownership	R	R	R	R	R	B	B
Sampling rate (S/s)	1/10	1/10	1/10	1/10	1/10	1/5	1/5
Total duration (days)	45	80	36	33	28	82	15
Mean daily consumption (kW)	110	115	220	281	28	187	227

ILS data

Load	Premises 1	Premises 2	Premises 3	Premises 4	Laboratory	#Brand	Consumption type	#Takes
Blender	✓	✓	✓	✓	.	4	FSM	1UI
Hair dryer	✓	✓	.	✓	.	3	FSM	1UI
Laptop	✓	.	.	.	.	2	CVD	1UI
Kettle	.	.	.	✓	.	1	ON/OFF	1UI
Hand mixer	.	.	.	✓	.	1	FSM	1UI
Stand mixer	.	.	.	✓	.	1	FSM	1UI
Toaster	.	.	.	✓	.	1	ON/OFF	1UI
Monitor	✓	.	.	.	.	1	CVD	1UI
Panini grill	✓	✓	.	.	.	2	ON/OFF	1UI
Refrigerator	✓	✓	✓	.	.	3	CVD	1UI
Space heater	✓	.	.	.	.	1	ON/OFF	1UI
Washing machine	✓	.	✓	.	.	2	CVD	1UI
WIFI fiber adapter	✓	.	.	.	.	1	ON/OFF	1UI
WIFI modem	✓	.	.	.	.	1	ON/OFF	1UI
Curling brush	.	✓	.	.	.	1	ON/OFF	1UI
Hair curler	.	✓	.	.	.	1	ON/OFF	1UI
Hair straightener	.	✓	.	.	.	1	ON/OFF	1UI
Ironing machine	✓	✓	.	.	.	2	ON/OFF	1UI
Oven	.	✓	✓	.	.	2	FSM	1UI
Vacuum cleaner	.	✓	.	.	.	1	ON/OFF	1UI
Water heater	.	✓	✓	.	.	2	ON/OFF	1UI
PS3	.	.	✓	.	.	1	CVD	1UI
TV	.	.	✓	.	.	1	CVD	1UI
3D printer	.	.	.	.	✓	1	CVD	1UI
Band saw	.	.	.	.	✓	1	CVD	1UI
Desktop computers	.	.	.	.	✓	1	CVD	1UI
Drill press	.	.	.	.	✓	1	CVD	1UI
Drilling machine	.	.	.	.	✓	1	CVD	1UI
Fan heater	.	.	.	.	✓	1	CVD	1UI
Heat gun	.	.	.	.	✓	1	CVD	1UI
Immersion heater	.	.	.	.	✓	1	CVD	1UI
Impact drill	.	.	.	.	✓	2	CVD	1UI
Jigsaw	.	.	.	.	✓	1	CVD	1UI
Metal cutting saw	.	.	.	.	✓	1	CVD	1UI
Paint curing lamp	.	.	.	.	✓	1	CVD	1UI
Sling miter saw	.	.	.	.	✓	1	CVD	1UI
Combined grinder & polisher	.	.	.	.	✓	1	CVD	3UI

DOWNLOAD

WPILGT data

• Apartment in a disadvantageous neighbourhood
  • Premises 1
  • Premises 3
  • Premises 7^new
  • Premises 10^new
• Semi-Detached House in an affluent neighbourhood
  • Premises 2
  • Premises 9*^new
• Apartment in an affluent neighbourhood
  • Premises 4
  • Premises 5
  • Premises 6
  • Premises 8^new
• metadata

*: The data desciribing the whole-house electricity consumption of this household is not available.

WP data

• Apartment in a disadvantageous neighbourhood
  • Premises 1
  • Premises 2
  • Premises 3
  • Premises 4
  • Premises 5
  • Premises 8^new
  • Premises 12^new
• Semi-Detached House in an affluent neighbourhood
  • Premises 6
• Apartment in an affluent neighbourhood
  • Premises 7
  • Premises 9^new
  • Premises 10^new
  • Premises 11^new
• metadata

ILS data

• all loads (50Hz and 4Hz)

Reference

For more information about the dataset, please refer to (and cite) the following paper: Ahajjam, M.A.; Bonilla Licea, D.; Essayeh, C.; Ghogho, M.; Kobbane, A. MORED: A Moroccan Buildings’ Electricity Consumption Dataset. Energies 2020, 13, 6737.

BIBTEX:

@article{Ahajjam_2020, title={MORED: A Moroccan Buildings’ Electricity Consumption Dataset}, volume={13}, ISSN={1996-1073}, url={http://dx.doi.org/10.3390/en13246737}, DOI= {10.3390/en13246737}, number={24}, journal={Energies}, publisher={MDPI AG}, author={Ahajjam, Mohamed Aymane and Bonilla Licea, Daniel and Essayeh, Chaimaa and Ghogho, Mounir and Kobbane, Abdellatif}, year={2020}, month={Dec}, pages={6737}}

We appreciate all the residents who have accepted us in their households and collaborated with us to collect MORED.
🙌 THANK YOU! 🙌

mored's Issues

Nilmtk converter

Is there a converter of the dataset to the NILMTK format (https://github.com/nilmtk/nilmtk) or do you have in mind to do it?
I think it could be useful.