Dear Sheik Mohammed Sulthan

Have a look:

1. Article Big data analytics in smart grids: a review

2. https://fardapaper.ir/mohavaha/uploads/2017/09/323232215564546565656565.pdf

Kind Regards

Qamar Ul Islam

Dear Sheik Mohammed S

I also recommend this paper (Table I): Article Review of Smart Meter Data Analytics: Applications, Methodol...

I personally have used the Irish dataset (https://www.ucd.ie/issda/data/commissionforenergyregulationcer/). It has some bureaucracy (a fast one) to get access, but it is quite good.

Best regards

Julio Massignan

Dear Sheik:

You could benefit from these datasets:

1- "370 Client Electricity Loads 2011 - 2014

dataset":

Data set has no missing values.

Values are in kW of each 15 min. To convert values in kWh values must be divided by 4.

Each column represent one client. Some clients were created after 2011. In these cases consumption were considered zero.

All time labels report to Portuguese hour. However all days present 96 measures (24*15). Every year in March time change day (which has only 23 hours) the values between 1:00 am and 2:00 am are zero for all points. Every year in October time change day (which has 25 hours) the values between 1:00 am and 2:00 am aggregate the consumption of two hours.

2- "Appliances energy prediction Data Set

dataset":

The data set is at 10 min for about 4.5 months. The house temperature and humidity conditions were monitored with a ZigBee wireless sensor network. Each wireless node transmitted the temperature and humidity conditions around 3.3 min. Then, the wireless data was averaged for 10 minutes periods. The energy data was logged every 10 minutes with m-bus energy meters. Weather from the nearest airport weather station (Chievres Airport, Belgium) was downloaded from a public data set from Reliable Prognosis (rp5.ru), and merged together with the experimental data sets using the date and time column. Two random variables have been included in the data set for testing the regression models and to filter out non predictive attributes (parameters).

3- "BANES Energy Data Electricity

dataset":

Electricity energy usage data in Council buildings, UK.

4- "CER Smart Meter Project by Irish Social Science Data Archive.dataset":

CER Smart Meter Project by Irish Social Science Data Archive. Mean energy consumption of 5000 homes and business in Ireland.

5- "Commercial Buildings Energy Consumption Survey (CBECS). dataset":

The Commercial Buildings Energy Consumption Survey (CBECS) is a national sample survey that collects information on the stock of U.S. commercial buildings, including their energy-related building characteristics and energy usage data (consumption and expenditures). Commercial buildings include all buildings in which at least half of the floorspace is used for a purpose that is not residential, industrial, or agricultural. By this definition, CBECS includes building types that might not traditionally be considered commercial, such as schools, hospitals, correctional institutions, and buildings used for religious worship, in addition to traditional commercial buildings such as stores, restaurants, warehouses, and office buildings.

6- "UK Domestic Appliance-Level Electricity (UK-DALE) dataset":

April 2017 release: This dataset records the power demand from five houses. In each house we record both the whole-house mains power demand every six seconds as well as power demand from individual appliances every six seconds. In three of the five houses (houses 1, 2 and 5) we also record the whole-house voltage and current at 16 kHz. Each release of the dataset is labelled with the month and year. The most recent (and probably final) release is for April 2017. UK-DALE now includes 4.3 years of data for house 1.

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Also, you could benefit from this valuable article about your topic:

"Smart meter data collection: how does it all work?"

11 March 2021 | Celia Topping.

@https://www.google.com/amp/s/www.ovoenergy.com/guides/energy-guides/a-guide-to-smart-meter-data/amp

Finally, i have attached a pdf file about your topic ....

I hope it will be helpful...

With my best regards....