Journal ArticleDOI
Using ensemble weather predictions in district heating operation and load forecasting
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TLDR
In this paper, a simple autoregressive forecast model with weather prediction input is used to showcase the new concept, which is useful in both the production planning and the online operation of a modern district heating system, in particular in light of the low temperature operation, integration of renewable energy and close interaction with the electricity markets.About:
This article is published in Applied Energy.The article was published on 2017-05-01. It has received 83 citations till now. The article focuses on the topics: Heating system.read more
Citations
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Journal ArticleDOI
A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis
TL;DR: A comprehensive literature review of the applications of data mining technologies in this domain and suggestions for future researches are proposed towards effective and efficient data mining solutions for building energy systems.
Journal ArticleDOI
Deep learning-based feature engineering methods for improved building energy prediction
TL;DR: Using operation data of real buildings, the performance of different deep learning techniques in automatically deriving high-quality features for building energy predictions is investigated to automate and improve the predictive modeling process while bridging the knowledge gaps between deep learning and building professionals.
Journal ArticleDOI
Machine learning-based thermal response time ahead energy demand prediction for building heating systems
Yabin Guo,Jiangyu Wang,Huanxin Chen,Guannan Li,Jiangyan Liu,Chengliang Xu,Ronggeng Huang,Yao Huang +7 more
TL;DR: A strategy for obtaining the thermal response time of building, which is used as the time ahead of prediction models, is proposed and the optimal number of hidden layer nodes is 11 for the extreme learning machine model with feature set 4.
Journal ArticleDOI
A novel improved model for building energy consumption prediction based on model integration
TL;DR: A novel improved integration model (stacking model) that can be used to forecast building energy consumption and enriches the diversity of algorithm libraries of empirical models is proposed.
Journal ArticleDOI
Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms
TL;DR: The research shows that the recursive strategy is a better solution to multi-step ahead forecasting than the direct strategy with respect to accuracy, prediction stability, and modeling process.
References
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Proceedings Article
Information Theory and an Extention of the Maximum Likelihood Principle
TL;DR: The classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion to provide answers to many practical problems of statistical model fitting.
Book ChapterDOI
Information Theory and an Extension of the Maximum Likelihood Principle
TL;DR: In this paper, it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion.
Journal ArticleDOI
4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems
Henrik Lund,Sven Werner,Robin Wiltshire,Svend Svendsen,Jan Eric Thorsen,Frede Hvelplund,Brian Vad Mathiesen +6 more
TL;DR: In this article, the concept of 4th Generation District Heating (4GDH) was defined, including the relations to district cooling and the concepts of smart energy and smart thermal grids.
Journal ArticleDOI
Smart Energy Systems for coherent 100% renewable energy and transport solutions
Brian Vad Mathiesen,Henrik Lund,David Connolly,Henrik Wenzel,Poul Alberg Østergaard,Bernd Möller,Steffen Nielsen,Iva Ridjan,Peter Karnøe,Karl Sperling,Frede Hvelplund +10 more
TL;DR: In this article, the authors present the development and design of coherent smart energy systems as an integrated part of achieving future 100% renewable energy and transport solutions, which can potentially pave the way to a bioenergy-free, renewable energy- and transport system.
Journal ArticleDOI
Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system
David Connolly,Henrik Lund,Brian Vad Mathiesen,Sven Werner,Bernd Möller,Urban Persson,Thomas Boermans,Daniel Trier,Poul Alberg Østergaard,Steffen Nielsen +9 more
TL;DR: In this article, six different strategies have been proposed for the European Union (EU) energy system in the European Commission's report, Energy Roadmap 2050, the objective for these strategies is to ide...
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