This paper presents a data-driven method for producing annual continuous dynamic rating of power transformers to serve the long-term planning purpose. Historically, research works on have been focused real-time/near-future system operations. There has lack oriented applications. Currently, most utility companies still rely static numbers when next few years. In response, this proposes novel and...

This work have studied and developed lifetime estimation methods for the power transformer and how these could be used for asset management purposes. It is research performed in the intersection of the fields of reliability theory, statistical analysis, and stochastic process theory applied to lifetime estimations and management of transformers. The chosen approaches are the following. The thes...

Photovoltaic (PV) system installation has encouraged to be further expedited minimize climate change and thus, rooftop solar PV systems have been sparkled in every corner of the world. However, due technological constraints linked voltage currents, hosting capacity substantially constrained. Therefore, this paper proposes a competent approach maximize low distribution network based on control d...

Integration of a large number renewable systems produces line congestions, resulting in problem for distribution companies, since the lines are not capable transporting all energy that is generated. Both environmental and economic constraints do allow building new to manage from sources, so efforts have focus on existing facilities. Dynamic Rating Management (DRM) power one best options achieve...

Research in recommender systems focuses on applications such as in online shopping malls and simple information systems. These systems consider user profile information and item information obtained from data explicitly entered by users. In these systems, it is possible to classify the items involved and to make recommendations based on a direct mapping from user or user group to item or item g...