Abstract: The main objective of this study is to present a more accurate method to estimate the energy performance of buildings. This purpose is meant to evaluate the feasibility and relevance of more complex statistical modeling techniques, such as the artificial neural network. The energy performance of buildings may be estimated by their capacity to ensure a healthy and comfortable environment, with low energy consumption during the whole year. The glazed areas have a decisive role in the building energy performance having in view the complex functions that they play in the system. A parametric study, based on another powerful tool - the design of experiment method, which allows us to emphasize the measure in which the geometric and energetic characteristics of glazed areas influence the energy efficiency, estimated by the yearly energy needs, to ensure a comfortable and healthy environment. An artificial neural network - ANN is a computational model inspired by the biological natural neuron.

• Publication Date: 26-Oct-2014
• DOI: 10.15224/978-1-63248-030-9-55
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Abstract: Price reduction of computers and related equipment in recent period has enabled the purchase of the same for the broadest range of businesses regardless of size. The next logical step, which still continues, is to maximize the effects of applied information technology on the competitive position of the entity or company profits. Processed data and quality information usage in the global environment is more important than ever, and economy covered with crises is exploring opportunities for additional savings apart from the wish for more stable market position. Transparent market challenges especially in the context of European Union are requiring additional thoughts on the use of computer technology with greater efficiency. Although rare, remaining, successful large enterprises in the Republic of Croatia realize in particular the potential which provides the optimum use of ICT in everyday communication, debts collection, resolving internal organization, market research and other busines

• Publication Date: 26-Oct-2014
• DOI: 10.15224/978-1-63248-032-3-102
• Views: 0
• Downloads: 0