Residential Level Short-Term Demand Forecasting Using ANFIS Model
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0973-5_51
Reference16 articles.
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4. Panapongpakorn T, Banjerdpongchai D (2019) Short-term load forecast for energy management systems using time series analysis and neural network method with average true range. In: 2019 first international symposium on instrumentation, control, artificial intelligence, and robotics (ICA-SYMP), pp 86–89. https://doi.org/10.1109/ICA-SYMP.2019.8646068
5. Wang X, Fang F, Zhang X, Liu Y, Wei L, Shi Y (2019) LSTM-based short-term load forecasting for building electricity consumption. In: 2019 IEEE 28th international symposium on industrial electronics (ISIE), pp 1418–1423. https://doi.org/10.1109/ISIE.2019.8781349
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