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Short-term forecasting of Algerian load using fuzzy logic and expert system

机译:使用模糊逻辑和专家系统的阿尔及利亚载荷的短期预测

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The industry of electrical energy in the majority of the developing countries is changing from an operational approach centralized towards a competing approach. The notion of forcasting of electrical energy by only one public services, is replaced by the concept that a competitive market is a mechanism more appropriate to ensure energy the consumers with a high reliability at less cost. Algeria counts among these countries. Under such competition conditions, forecasting becomes a powerful tool in the search for higher outputs. Indeed, because electrical energy cannot be stored, the single physical condition which would ensure an optimal output, is a production equal to consumption. A valid model (or forecast tool) for the forecasts of load and/or electricity consumption, will help to reach this condition. This work presents the results obtained by a prediction model based on fuzzy logic and expert system and developed with C# which will facilitate the deployment on a server to be accessed from the web.
机译:大多数发展中国家的电能行业正在从集中飞向竞争方法的操作方法发生变化。只有一个公共服务替代电能的概念被竞争市场更适合能够以较低的成本降低可靠性,以更合适的机制所取代的概念。阿尔及利亚在这些国家之间计入。在此类竞争条件下,预测成为搜索更高输出的强大工具。实际上,因为不能存储电能,所以确保最佳输出的单个物理条件是等于消耗的生产。用于负载和/或电力消耗预测的有效型号(或预测工具)将有助于达到这种情况。这项工作提出了通过基于模糊逻辑和专家系统的预测模型获得的结果,并使用C#开发,这将促进从Web访问的服务器上的部署。

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