An ensemble-based enhanced short and medium term load forecasting using optimized missing value imputation
Abstract Electricity load forecasting is integral to planning, energy management, and the energy market. Utility companies serve a massive number of customers by supplying electricity. These utility companies require a precise forecast of electricity usage. This paper presents a forecasting model fo...
Saved in:
| Main Authors: | Tania Gupta, Richa Bhatia, Sachin Sharma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06610-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating Performance of Missing Data Imputation Methods in IRT Analyses
by: Ömür Kaya Kalkan, et al.
Published: (2018-09-01) -
Missing data imputation of climate time series: A review
by: Lizette Elena Alejo-Sanchez, et al.
Published: (2025-12-01) -
Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data
by: Muhammed Haziq Muhammed Nor, et al.
Published: (2025-01-01) -
Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM
by: Nicholas Niako, et al.
Published: (2024-12-01) -
Estimating Missing Panel Data with Regression and Multivariate Imputation by Chained Equations (MICE)
by: Budi Susetyo, et al.
Published: (2024-05-01)