# Energy Demand Forecasting in China Based on Dynamic RBF Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/energy-demand-forecasting-in-china-based-on-dynamic-rbf-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dongqing Zhang,Kaiping Ma,Yuexia Zhao |
| Citations | 1 |
| DOI | 10.1007/978-3-642-22456-0_56 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1645398 |
| Type | conference-paper |
| Year | 2011 |

## Paper authors

- [Kaiping Ma](https://scholariq.org/researchers/kaiping-ma/)

## Paper journal

- [Communications in computer and information science](https://scholariq.org/journals/communications-in-computer-and-information-science/)

## Paper primary topic

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

## Paper topics

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Advanced Algorithms and Applications](https://scholariq.org/topics/advanced-algorithms-and-applications/)

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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.