Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms

Author:

Hinojosa V.H.,Hoese A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 67 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Short-term electric load forecasting using particle swarm optimization-based convolutional neural network;Engineering Applications of Artificial Intelligence;2023-11

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3. The Impact of Key Load Shifting Parameters on Peak Demand Reduction Strategies;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16

4. Day-Ahead Residential Customer Load Forecasting Using Prophet;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

5. An Image Inpainting Approach to Short-Term Load Forecasting;IEEE Transactions on Power Systems;2023-01

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