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Forecasting Electricity Consumption in Residential Buildings for Home Energy Management Systems.

, , и . IPMU (1), том 1237 из Communications in Computer and Information Science, стр. 313-326. Springer, (2020)

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Antonio Banichevich B

Antonio Teixeira e Silva

Alexander B E Minidis

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Oscar Ruano

 

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Anytime Models in Fuzzy Control., , и . ICINCO (3), стр. 213-220. INSTICC Press, (2010)Applications of neural networks to control systems.. Bangor University, Wales, UK, (1992)British Library, EThOS.Exploiting the Functional Training Approach in Takagi-Sugeno Neuro-fuzzy Systems., , , и . SOFA, том 195 из Advances in Intelligent Systems and Computing, стр. 543-559. Springer, (2012)Accelerating multi-objective control system design using a neuro-genetic approach., , , и . CEC, стр. 392-397. IEEE, (2000)Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network., , , , , и . Expert Syst. Appl., (2016)Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver., , , , и . ICRA, стр. 3930-3935. IEEE, (2005)Forecasting Electricity Consumption in Residential Buildings for Home Energy Management Systems., , и . IPMU (1), том 1237 из Communications in Computer and Information Science, стр. 313-326. Springer, (2020)GPR target detection using a neural network classifier designed by a multi-objective genetic algorithm., , , и . Appl. Soft Comput., (2019)A Support Vector Machine Seismic Detector for Early-Warning Applications., , , , , и . ICONS, стр. 405-410. International Federation of Automatic Control, (2013)Evolving RBF predictive models to forecast the Portuguese electricity consumption., , , и . ICONS, стр. 414-419. International Federation of Automatic Control, (2009)