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20112017
most citedDeep Forecast: Deep Learning-based Spatio-Temporal Forecasting

96 citations · 122 across the 7 of their papers we have counts for

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5 papers · 1 filter

eess.SY2015

Low-dimensional Models in Spatio-Temporal Wind Speed Forecasting

Borhan M. Sanandaji, Akin Tascikaraoglu, Kameshwar Poolla +1

Integrating wind power into the grid is challenging because of its random nature. Integration is facilitated with accurate short-term forecasts of wind power. The paper presents a…

eess.SY2014

Potentials and Economics of Residential Thermal Loads Providing Regulation Reserve

He Hao, Borhan M. Sanandaji, Kameshwar Poolla +1

Residential Thermostatically Controlled Loads (TCLs) such as Air Conditioners (ACs), heat pumps, water heaters, and refrigerators have an enormous thermal storage potential for pro…

eess.SY2014★ 7 cited

Compressive Origin-Destination Matrix Estimation

Borhan M. Sanandaji, Pravin P. Varaiya

The paper presents an approach to estimate Origin-Destination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Ori…

eess.SY2013★ 1 cited

Improved Battery Models of an Aggregation of Thermostatically Controlled Loads for Frequency Regulation

Borhan M. Sanandaji, He Hao, Kameshwar Poolla +1

Recently it has been shown that an aggregation of Thermostatically Controlled Loads (TCLs) can be utilized to provide fast regulating reserve service for power grids and the behavi…

eess.SY2012★ 4 cited

Technical Report: Observability with Random Observations

Borhan M. Sanandaji, Michael B. Wakin, Tyrone L. Vincent

Recovery of the initial state of a high-dimensional system can require a large number of measurements. In this paper, we explain how this burden can be significantly reduced when r…