With the increase in global warming, the demand for more sustainable and thermal insulating cement-based lightweight composite increases. From the past few decades …
In this study, the results of forecasting of the gas demand obtained with the use of artificial neural networks are presented. Design and training of MLP (multilayer perceptron model) …
Three main groups of internal and external influencing factors have been identified through this review, including building characteristics, equipment and technologies, and occupant's …
O Kaynakli - Renewable and Sustainable Energy Reviews, 2012 - Elsevier
Energy conservation is an increasingly important issue for the residential sector. Therefore, attention towards the thermal performance of building materials, particularly thermal …
Forecasting of energy demand in emerging markets is one of the most important policy tools used by the decision makers all over the world. In Turkey, most of the early studies used …
This paper presents a mixed-integer linear programming (MILP) super-structure model for the optimal design of distributed energy generation systems that satisfy the heating and …
Publishing papers in the area of forecasting natural gas consumption has begun in the middle of last century and led to a tremendous surge in research activities in the past …
This work presents an optimisation based approach for the integrated plan and evaluation of Distributed Energy Resources (DER) systems. The mathematical model takes into account …
The integration of distributed generation units and microgrids in the current grid infrastructure requires an efficient and cost effective local energy system design. A mixed …