A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height

Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar.It is usual to apply nonparametric spectral estimation methods with a large number of snapshots over forest areas.The nonparametric iterative adaptive approach for amplit

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Optimal Bidding Strategy for Physical Market Participants With Virtual Bidding Capability in Day-Ahead Electricity Markets

Virtual bidding provides a mechanism for financial players to participate in wholesale day-ahead (DA) electricity markets.The price difference between DA and real-time (RT) markets creates financial arbitrage opportunities for financial players.Physical market participants (MP), referred to as participants with Carving physical assets in this paper

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