Short Term Load Forecasting Using XGBoost

Raza Abid Abbasi; Nadeem Javaid; Muhammad Nauman Javid Ghuman; Zahoor Ali Khan; Shujat ur Rehman; Amanullah

doi:10.1007/978-3-030-15035-8_108

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Short Term Load Forecasting Using XGBoost

Raza Abid Abbasi Nadeem Javaid Muhammad Nauman Javid Ghuman Zahoor Ali Khan Shujat ur Rehman Amanullah

Year: 2019 Advances in intelligent systems and computing Pages: 1120-1131 Publisher: Springer Nature

DOI: 10.1007/978-3-030-15035-8_108

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Keywords:

Computer science Smart grid Term (time) Time series Feature selection Metric (unit) Gradient boosting Lag Data mining Series (stratigraphy) Artificial intelligence Machine learning Random forest

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Short Term Load Forecasting Using XGBoost

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