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Use of model predictive control and weather forecasts for energy efficient building climate control

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In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.
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This article is published in Energy and Buildings.The article was published on 2012-02-01 and is currently open access. It has received 1070 citations till now. The article focuses on the topics: Model predictive control & HVAC.

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A composable method for real-time control of active distribution networks with explicit power setpoints. Part I: Framework

TL;DR: The proposed method for the explicit control of the grid status is based on a common abstract model characterized by the main property of being composable, which means subsystems can be aggre-gated into virtual devices that hide their internal complexity.
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Predictive Control Strategies based on Weather Forecast in Buildings with Energy Storage System: A Review of the State-of-the Art

TL;DR: In this article, the authors review the recent advancements in building predictive control with energy storage system and pay special attention to its limitations and abilities, while considering both loads and renewable energy production.
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Smart buildings features and key performance indicators: A review

TL;DR: The aim of this research is to review the concept of smartness in the built environment, highlighting the main features, functions, and technologies of smart buildings, also discussing the possible challenges for smart retrofit applications.
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Reinforcement learning for optimal control of low exergy buildings

TL;DR: In this paper, reinforcement learning control (RLC) is used for the PV/T array and the full building model in a Matlab/Simulink framework to reduce energy consumption and GHG emissions.
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The Impact of Building Occupant Behavior on Energy Efficiency and Methods to Influence It: A Review of the State of the Art

Antonio Paone, +1 more
- 17 Apr 2018 - 
TL;DR: In this paper, the authors present a review of the state of the art related to the impact of building user behavior on energy efficiency, in order to provide the research community with a better understanding and up-to-date knowledge of energy, comfort-related practices, and potential research opportunities.
References
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Book

Predictive Control With Constraints

TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
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Model predictive control: theory and practice—a survey

TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Journal Article

Optimal Filtering

TL;DR: This book helps to fill the void in the market and does that in a superb manner by covering the standard topics such as Kalman filtering, innovations processes, smoothing, and adaptive and nonlinear estimation.
Book

Stochastic programming

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Meso-gamma scale forecasts using the nonhydrostatic model LM

TL;DR: It is concluded, that orographic filtering is necessary and the effect of such filtering on precipitation forecasts is investigated, and examples of model predictions at the meso-γ scale are given.
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Q1. What have the authors contributed in "Use of model predictive control and weather forecasts for energy efficient building climate control" ?

This paper presents an investigation of how Model Predictive Control ( MPC ) and weather predictions can increase the energy efficiency in Integrated Room Automation ( IRA ) while respecting occupant comfort. In this paper it is reported on the development and analysis of a Stochastic Model Predictive Control ( SMPC ) strategy for building climate control that takes into account hance-constrained control the uncertainty due to the use of weather predictions. As first step the potential of MPC was assessed by means of a large-scale factorial simulation study that considered different types of buildings and HVAC systems at four representative European sites. The findings suggest that SMPC outperforms current control practice.