A simplified fuzzy inference method with tabu search for short-term load forecasting in power systems
A simplified fuzzy inference method with tabu search for short-term load forecasting in power systems
复制标题
电力系统短期负荷预测的禁忌搜索简化模糊推理方法
DOI：
10.1109/cdc.1998.761969
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Yasuyuki Sone
中科院分区：
文献类型：
--
作者：
H. Mori;Yasuyuki Sone
提出了一种电力系统短期负荷预测的新方法。所提出的方法利用简化的模糊推理，具有一个输出变量在清晰的数字，而不是模糊。该技术是相当流行的，以减少计算工作量。虽然每个输入变量都具有模糊隶属度函数，但在某种意义上，输出变量是明确的数字，对电力系统工程师来说是友好的，这是很容易被系统操作员接受的。为了构造模糊隶属函数的最优结构，有必要使用确定模糊隶属函数的数目和位置的组合技术。在本文中，禁忌搜索应用于确定它们的有效。作为一种元启发式方法，该技术在计算量和求解精度方面优于其他方法。通过对公用事业真实的数据的分析，验证了该方法的有效性.并与其它方法进行了比较。
This paper proposes a new method for short-term load forecasting in power systems. The proposed method makes use of simplified fuzzy inference that has an output variable in crisp number rather than fuzzy. The technique is quite popular for reducing computational effort. Also, it is quite acceptable to system operators in a sense that the output variable in crisp number is friendly to power system engineers although each input variable has the fuzzy membership functions. In order to construct the optimal structure of the fuzzy membership functions, it is necessary to use a combinatorial technique that determines the number and the location of the fuzzy membership functions. In this paper, tabu search is applied to determine them efficiently. As a metaheuristic approach, the technique is better than others in terms of computational effort and solution accuracy. The effectiveness of the proposed method is demonstrated for real data of utilities. A comparison is made between the proposed method and others.
DOI：
10.1109/pica.1995.515200
发表时间：
1995-05
期刊：
Proceedings of Power Industry Computer Applications Conference
影响因子：
--
作者：
H. Mori;H. Kobayashi
通讯作者：
H. Mori;H. Kobayashi