Personalized Home Electricity price forecasting

Citation Author(s):
Ghalib
Tahir
Submitted by:
Ghalib Tahir
Last updated:
Mon, 12/07/2020 - 12:42
DOI:
10.21227/349d-fz92
License:
0
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Abstract 

Over the past two decades,  various machine learning methods are proposed for the prediction of electricity prices.  Existing literature discusses in detail the strength and weaknesses of these methods.  This dataset focuses on the exploration of online personalized machine learning models for the prediction of monthly electricity bills in developing countries. For this purpose, we gathered the dataset of monthly electricity bills of 70 users for one year. Forecasted results will help people in developing countries to modify their behavior regarding electricity consumption, especially when load shedding is a common problem.

Instructions: 

There are two sheets in it. Sheet one has monthly electricity bills of 39 users for one year from APRIL 2018 to APRIL 2019. Similarly, sheet two has monthly electricity bills of 30 users from May to May. The prices are in PKR.

Comments

please, I want this dataset for a final year project.

Submitted by MOHAMED MERABET on Sat, 10/09/2021 - 13:59

Hi, I want this dataset for my university assignments

Submitted by Keshav Sharma on Sun, 10/10/2021 - 17:57

ss

Submitted by Ashish Prajesh on Thu, 10/21/2021 - 09:58