# Energy Load and Power Forecasting

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/energy-load-and-power-forecasting-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 918,139 |
| Description | This cluster of papers focuses on the methods and techniques for forecasting electricity prices and load demand, with an emphasis on short-term forecasting using neural networks, ARIMA models, and probabilistic approaches. The cluster also covers topics related to wind power generation, deep learning applications, and renewable energy forecasting. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | https://openalex.org/T11052 |
| Works | 71,728 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Demis Hassabis](https://scholariq.org/researchers/demis-hassabis/)
- [H. Vincent Poor](https://scholariq.org/researchers/h-vincent-poor/)
- [Andrew Y. Ng](https://scholariq.org/researchers/andrew-y-ng/)
- [Eric R. Ziegel](https://scholariq.org/researchers/eric-r-ziegel/)
- [Oliver Stegle](https://scholariq.org/researchers/oliver-stegle/)
- [Halbert White](https://scholariq.org/researchers/halbert-white/)
- [James H. Stock](https://scholariq.org/researchers/james-h-stock/)
- [Chih‐Jen Lin](https://scholariq.org/researchers/chih-jen-lin/)
- [Zhihui Du](https://scholariq.org/researchers/zhihui-du/)
- [O. Bouhali](https://scholariq.org/researchers/o-bouhali/)
- [Manfred Morari](https://scholariq.org/researchers/manfred-morari/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.