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Personalized Home Electricity price forecasting
- Citation Author(s):
- Submitted by:
- Ghalib Tahir
- Last updated:
- Mon, 12/07/2020 - 12:42
- DOI:
- 10.21227/349d-fz92
- License:
- Categories:
- Keywords:
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.
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.
Hi, I want this dataset for my university assignments
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