96 citations · 122 across the 7 of their papers we have counts for
8 papers
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting
Amir Ghaderi, Borhan M. Sanandaji, Faezeh Ghaderi
The paper presents a spatio-temporal wind speed forecasting algorithm using Deep Learning (DL)and in particular, Recurrent Neural Networks(RNNs). Motivated by recent advances in re…
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…
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…
An Abrupt Change Detection Heuristic with Applications to Cyber Data Attacks on Power Systems
Borhan M. Sanandaji, Eilyan Bitar, Kameshwar Poolla +1
We present an analysis of a heuristic for abrupt change detection of systems with bounded state variations. The proposed analysis is based on the Singular Value Decomposition (SVD)…
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…
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…
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…
Concentration of Measure Inequalities for Toeplitz Matrices with Applications
Borhan M. Sanandaji, Tyrone L. Vincent, Michael B. Wakin
We derive Concentration of Measure (CoM) inequalities for randomized Toeplitz matrices. These inequalities show that the norm of a high-dimensional signal mapped by a Toeplitz matr…