A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings

24 Sep 2018Mainak DanSeshadhri Srinivasan

This investigation aims to study different adaptive fuzzy inference algorithms capable of real-time sequential learning and prediction of time-series data. A brief qualitative description of these algorithms namely meta-cognitive fuzzy inference system (McFIS), sequential adaptive fuzzy inference system (SAFIS) and evolving Takagi-Sugeno (ETS) model provide a comprehensive comparison of their working principle, especially their unique characteristics are discussed... (read more)

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