Search Results - "Pinheiro, Carlos A.M."
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Forecasting financial series using clustering methods and support vector regression
Published in The Artificial intelligence review (15-08-2019)“…This paper proposes a two-stage model for forecasting financial time series. The first stage uses clustering methods in order to segment the time series into…”
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The discrete-time controller for the H∞/LTR problem with mixed-sensitivity properties
Published in Automatica (Oxford) (01-08-2015)“…In this technical communique is presented a new design procedure that can be used to obtain analogous results to the continuous-time H∞/LTR control on the…”
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Implementation of a Rough Controller with Proportional–Integral Action to Control a Nonlinear System
Published in Journal of control, automation & electrical systems (01-06-2017)“…This paper addresses the implementation of a rough controller with proportional–integral action to control a nonlinear system. The system chosen was a level…”
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Long-term load forecasting via a hierarchical neural model with time integrators
Published in Electric power systems research (01-03-2007)“…A novel hierarchical hybrid neural model to the problem of long-term load forecasting is proposed in this paper. The neural model is made up of two…”
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Forecasting models for prediction in time series
Published in The Artificial intelligence review (01-08-2012)“…This paper presents the study of three forecasting models—a multilayer perceptron, a support vector machine, and a hierarchical model. The hierarchical model…”
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A hierarchical hybrid neural model with time integrators in long-term load forecasting
Published in Neural computing & applications (01-11-2009)“…A novel hierarchical hybrid neural model to the problem of long-term load forecasting is proposed in this paper. The neural model is made up of two…”
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Journal Article -
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A hierarchical neural model with time windows in long-term electrical load forecasting
Published in Neural computing & applications (01-05-2007)“…A novel hierarchical hybrid neural model to the problem of long-term electrical load forecasting is proposed in this paper. The neural model is made up of two…”
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A new approach on the target feedback loop parameterization in the discrete-time LQG/LTR control
Published in 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE) (01-06-2015)“…This paper presents a new approach on the plant augmentation and target feedback loop parameterization for the discrete-time LQG/LTR control. With the proposed…”
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