Работы, на которые ссылается эта работа

Работ: 31

Работа: Predictive and probabilistic modelling using machine learning for building indoor climate control

Gaussian Processes for Machine Learning
Carl Edward Rasmussen, Carl Edward Rasmussen, Christopher K. I. Williams
Книга2005Цитирований: 7
ABI
Modelling and Control of Dynamic Systems Using Gaussian Process Models
Juš Kocijan
Книга2015Цитирований: 6
ABI
Implementation of gaussian process models for non-linear system identification
Keith Thompson
Диссертация2009Цитирований: 5
ABI
Derivative Observations in Gaussian Process Models of Dynamic Systems
Ercan Solak, Roderick Murray‐Smith, Douglas J. Leith +1
Статья2002Цитирований: 5
ABI
Stochastic Approach for System Identification using Machine Learning
Shokhjakhon Abdufattokhov, Behzod Muhiddinov
СтатьяGaussian Processes and Bayesian Inference2019Цитирований: 4
ABI
Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli +2
Статья2018Цитирований: 3
ABI
Electricity load forecasting by an improved forecast engine for building level consumers
Yang Liu, Wang Wei, Noradin Ghadimi
Статья2017Цитирований: 3
ABI
Thermal comfort: Analysis and applications in environmental engineering
Статья1972Цитирований: 3
ABI
Grey-box modeling and application for building energy simulations - A critical review
Yanfei Li, Zheng O’Neill, Liang Zhang +3
Обзорная статья2021Цитирований: 3
ABI
Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques
Xu Hong, Yuan He, Xiang Sun +2
Статья2019Цитирований: 3
ABI
Ensemble of various neural networks for prediction of heating energy consumption
Radiša Jovanović, Aleksandra Sretenović, Branislav Živković
Статья2015Цитирований: 3
ABI
Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks
Ye Wang, Carlos Ocampo‐Martínez, Vicenç Puig +1
Глава2016Цитирований: 2
ABI
Theory and applications of HVAC control systems – A review of model predictive control (MPC)
Abdul Afram, Farrokh Janabi‐Sharifi
Обзорная статья2013Цитирований: 2
ABI
Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data
Yu‐Hsiang Hsiao
Статья2014Цитирований: 2
ABI
Application of Gaussian processes for black-box modelling of biosystems
K. Ažman, Juš Kocijan
Статья2007Цитирований: 2
ABI
Advanced control systems engineering for energy and comfort management in a building environment—A review
Anastasios I. Dounis, C. Caraiscos
Статья2008Цитирований: 2
ABI
A data-driven state-space model of indoor thermal sensation using occupant feedback for low-energy buildings
Xiao Chen, Qian Wang, Jelena Srebric
Статья2015Цитирований: 2
ABI
The adaptive approach to thermal comfort: A critical overview
Edward Halawa, Joost van Hoof
Статья2012Цитирований: 2
ABI
Thermal comfort control based on neural network for HVAC application
Jian Liang, Ruxu Du
Статья2005Цитирований: 2
ABI
A data-driven approach for steam load prediction in buildings
Andrew Kusiak, Mingyang Li, Zijun Zhang
Статья2009Цитирований: 2
ABI
Use of model predictive control and weather forecasts for energy efficient building climate control
Frauke Oldewurtel, Alessandra Parisio, Colin N. Jones +5
Статья2011Цитирований: 2
ABI
The Role Of Environmental And Personal Variables In Influencing Thermal Comfort Indices Used In Building Simulation
Stephanie Gauthier
Статья2013Цитирований: 2
ABI
Predictive Control for Linear and Hybrid Systems
Francesco Borrelli, Alberto Bemporad, Manfred Morari
Книга2017Цитирований: 2
ABI
Data-driven model predictive control using random forests for building energy optimization and climate control
Francesco Smarra, Achin Jain, Tullio de Rubeis +3
Статья2018Цитирований: 2
ABI
CasADi: a software framework for nonlinear optimization and optimal control
Joel A.E. Andersson, Joris Gillis, Greg Horn +2
Статья2018Цитирований: 2
ABI