With the increasing penetration of electric-based system to enhance the urban lifestyle, the demand on the city grid is increasing. To compensate the increasing demand on the grid, electricity generation needs to raise. As most of the generations are fossil fuel based conventional power plants...

High demand for photovoltaic (PV), battery, and small-scale combined heat and power (CHP) technologies are driving a virtuous cycle of technological improvements and cost reductions in off grid electric systems that increasingly compete with the grid market. Using a case study in the Upper...

A divide and conquer algorithm for exploiting policy function monotonicity is proposed and analyzed. To solve a discrete problem with n states and n choices, the algorithm requires at most nlog2(n)+5n objective function evaluations. In contrast, existing methods for nonconcave problems require...

Energy security is the triggering factor for a developing country. Thus, for ensuring energy security renewable energy such as PV plant could be a best alternative. This study deals with the performance analysis of 80 KWp grid-connected solar power plant in Dhaka. This study presents a solar...

As they mature, mini grid sectors evolve from marginally viable competitive entrants to potential monopoly providers of essential services. In early stages, overly stringent regulation can choke the sector’s growth. In later stages, however, closer regulation is usually necessary to protect...

In this paper, I propose a dynamic programming approach with value function iteration to solve Bellman equations in discrete time using spatially adaptive sparse grids. In doing so, I focus on Bellman equations used in finance, specifically to model dynamic portfolio choice over the life cycle....

In Wireless Sensor Network one of the most significant and support technology is the Time Synchronization. The efficient Time synchronization is a well-known challenge for Wireless Sensor Network and at the same time it is a concept that has been attracting the research community since the last...

Association rule mining is a time consuming process due to involving both data intensive and computation intensive nature. In order to mine large volume of data and to enhance the scalability and performance of existing sequential association rule mining algorithms, parallel and distributed...

This paper examines two new methods to generate gridded agricultural Gross Domestic Product (GDP) and compares the results with a traditional method. In the case of Brazil, these two new methods of spatial disaggregation and cross-entropy outperform the prediction of agricultural GDP from the...