Clustering of load profiles helps in developing working methodology for energy losses (technical and commercial) evaluation [10, 11, 12, 13].
This paper presents a new methodology for energy demand forecasting that addresses the heterogeneity challenges in energy modeling of buildings.
This paper focuses on the accuracy and availability of information that will be used for energy use using SAP as a methodology for energy calculation.
This paper proposes a design methodology for energy infrastructure to address the recent economic and environmental challenges.
A good methodology for energy prediction could have a great impact on power-aware programming, compilation, or runtime monitoring.
A comprehensive validation of this methodology for energy piles is presented, using different geometries and thermal load distributions, drawing conclusions about how the approach can best be utilised.
In this paper the renovation and re-use of the Atika building, a demonstrative energy-efficient building, is presented as case study of an environmental efficient methodology for energy retrofitting.
Thus, in this paper, a stochastic modeling and uncertainty analysis methodology for energy system synthesis/design and operation/control which uses the RSA method is proposed and employed for calculating the uncertainties on the system outputs.
However, if this method is used in a commercial tool or in a national methodology for energy performance certification (Directive 2010/31/EU), it is usually customized with a number of default values, simplifications, and predefined weather data to facilitate the work or architects and engineers.
Despite the advancements in validation methodologies for building energy simulation tools, the validation process is still time consuming and difficult.
