Large-scale deployment of smart meters has made it possible to collect sufficient and high-resolution data residential electric demand profiles. Clustering analysis these profiles is important further analyze comment on electricity consumption patterns. Although many clustering techniques have been proposed in the literature over years, often noticed that different fit best for datasets. To ide...

This paper investigates the impacts of competition in autonomous mobility-on-demand systems. By adopting a network-flow based formulation, we first determine optimal strategies profit-maximizing platform operators monopoly and duopoly markets, including prices rides. Furthermore, characterize operator's profits consumer surplus. We show that for duopoly, equilibrium rides have to be symmetric b...

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this ...

India’s national missions to advance demand-side management and DERs such as, the Enhanced Energy Efficiency, Smart Grid, Wind and Solar Energy, Electric Mobility, etc., provide a pathway for sustainable developments. With these national missions, India is relying on large targets of 175 GW of renewable energy generation by 2022, which comprises of 100 GW Solar, 60 GW Wind, 10 GW Biomass, and 5...

Accurate electric power demand forecasting plays a key role in electricity markets and power systems. The electric power demand is usually a non-linear problem due to various unknown reasons, which make it difficult to get accurate prediction by traditional methods. The purpose of this paper is to propose a novel hybrid forecasting method for managing and scheduling the electricity power. EEMD-...

the growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselectricity production in the future. in this thesis, we study follows to long-term generationscheduling of power systems in the pre...