Although user participation has been studied over four decades, the effectiveness users’ participative activities has not been well assessed. This research proposes knowledge participation as an assessment of the effectiveness of participative activities performed by users. By capturing the effectiveness of users’ participative activities, the construct of knowledge participation is argued to h...

Abstract Modelling, forecasting and overall understanding of the dynamics power grid its frequency are essential for safe operation existing future grids. Much previous research was focused on large continental areas, while small systems, such as islands less well-studied. These natural island systems ideal testing environments microgrid proposals artificially islanded operation. In present pap...

extended abstract 1- introduction power is regarded as an important social variable when studying any social structure and institution. accordingly, distribution of power in family structure has a great importance and could affect many familial experiences such as development of personality, socialization, self-esteem, solidarity, satisfaction, happiness, etc. (mahdavi & saboori khosroshahi, 20...

With increasing use and integration of renewable energies, power imbalance between supply and demand sides has become one of the most critical issues in developing smart grid. As the major power consumers at demand side, buildings can actually perform as distributed thermal storages to help relieving power imbalance of a grid. However, power demand alteration potentials of buildings and energy ...

One of the most popular kinds renewable energy in generation electric power is photovoltaic (PV) system. disadvantages PV system however incompatibility performance panels because changing climate. Therefore, optimum output important to predict. This study will cover implementation behind Faculty Electrical and Electronic Engineering Block QA Building, University Tun Hussein Onn Malaysia. Then,...

In recent work, data-driven sweet spotting technique for shale plays previously explored with vertical wells has been proposed. Here, we extend this technique to multiple formations and formalize a general data-driven workflow to facilitate feature extraction from vertical well logs and predictive modeling of horizontal well production. We also develop an experimental framework that facilitates...