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1

Hybrid Heating and Cooling System with Renewable Energy Sources

100%

Pater S., Ciesielczyk M., Magiera J.

Czasopismo Techniczne

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-

PL

This paper presents hybrid heating and cooling system with four heating devices, three of which are producing heat from renewable energy sources. The systems operate in real conditions in residential and commercial building near Cracow. Geothermal heat pumps have an additional working mode that can be used for passive cooling during summertime for the cooling of building interiors. Results from several years of installation operation with a particular emphasis upon performance, the consumption of electricity, and the amount of heating and cooling production achieved by the individual devices have been presented.

2

Hybrid Heating and Cooling System with Renewable Energy Sources

100%

Pater S., Ciesielczyk M., Magiera J.

Czasopismo Techniczne

|

-

PL

This paper presents hybrid heating and cooling system with four heating devices, three of which are producing heat from renewable energy sources. The systems operate in real conditions in residential and commercial building near Cracow. Geothermal heat pumps have an additional working mode that can be used for passive cooling during summertime for the cooling of building interiors. Results from several years of installation operation with a particular emphasis upon performance, the consumption of electricity, and the amount of heating and cooling production achieved by the individual devices have been presented.

3

Multilinear Filtering Based on a Hierarchical Structure of Covariance Matrices

100%

Szwabe A., Ciesielczyk M., Misiorek P.

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2015

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vol. 24

PL

We propose a novel model of multilinear filtering based on a hierarchical structure of covariance matrices – each matrix being extracted from the input tensor in accordance to a specific set-theoretic model of data generalization, such as derivation of expectation values. The experimental analysis results presented in this paper confirm that the investigated approaches to tensor-based data representation and processing outperform the standard collaborative filtering approach in the ‘cold-start’ personalized recommendation scenario (of very sparse input data). Furthermore, it has been shown that the proposed method is superior to standard tensor-based frameworks such as N-way Random Indexing (NRI) and Higher-Order Singular Value Decomposition (HOSVD) in terms of both the AUROC measure and computation time.

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2 Czasopismo Techniczne

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2 2016

1 2015

3 Ciesielczyk M.

2 Magiera J.

2 Pater S.

1 Misiorek P.

1 Szwabe A.

Hybrid Heating and Cooling System with Renewable Energy Sources

Hybrid Heating and Cooling System with Renewable Energy Sources

Multilinear Filtering Based on a Hierarchical Structure of Covariance Matrices