This work analyses the application of heuristic algorithms in the transmission network expansion planning problem using the Hybrid Linear Model (HLM). The HLM is a relaxed model which still has not been fully explored. The work presents a detailed study of a constructive heuristic algorithm for the HLM and proposes an extension of the model and a solution technique for multi-stage planning. Qua...

The rapid growth of distributed generation (DG) and load has highlighted the necessity optimizing their ways integration, as siting sizing significantly impact distribution networks. However, little attention been paid to new substations which are be installed. This paper proposes deep learning-aided joint DG-substation in network stochastic expansion planning. First, model depends on an accura...

The potential growth of railway traffic is expected to be substantial worldwide; hence, railway companies and agencies are looking for better tools to allocate their capital investments to capacity planning in the best possible way. This paper presents a comprehensive decision support framework with three stand-alone tools for strategic railway capacity planning: (1) “Alternatives Generator,” w...

Computer networks are used in different organizations to many purposes. Some use them internally to enable work processes, others may see network as a strategic resource. This paper looks at local area networks, those networks that are the core of the entire information system in organizations today. The are many important management tasks in the area of local area networks, for example expansi...

This paper proposes an optimal transmission expansion planning (TEP) which is based on determining share of each line in merchandizing surplus (MS) of system, determining by Independent System Operator (ISO). The more share of a line in MS of system denotes the priority of a line for expansion. The procedure of determining MS of each line in a power system is based on determining the MS share o...