activity
20192022
most citedA bottom-up quantification of flexibility potential from the thermal energy storage in electric space heating

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY20221 cited

Econometric Modeling of Intraday Electricity Market Price with Inadequate Historical Data

Saeed Mohammadi, Mohammad Reza Hesamzadeh

The intraday (ID) electricity market has received an increasing attention in the recent EU electricity-market discussions. This is partly because the uncertainty in the underlying…

cs.LG2022

A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets

Saeed Mohammadi, Mohammad Reza Hesamzadeh

Prosumer operators are dealing with extensive challenges to participate in short-term electricity markets while taking uncertainties into account. Challenges such as variation in d…

eess.SY20211 cited

Stochastic Optimal Operation of the VSC-MTDC System with FACTS Devices to Integrate Wind Power

Zhao Yuan, Mohammad Reza Hesamzadeh, Sonja Wogrin +1

This paper proposes to use stochastic conic programming to address the challenge of large-scale wind power integration to the power system. Multiple wind farms are connected throug…

eess.SY20211 cited

A bottom-up quantification of flexibility potential from the thermal energy storage in electric space heating

Lars Herre, Behrouz Nourozi, Mohammad Reza Hesamzadeh +2

Non-generating resources such as thermostatically controlled loads (TCLs) can arbitrage energy prices and provide balancing reserves when aggregated due to their thermal energy sto…

stat.ML2019

Bayesian Model Selection for Change Point Detection and Clustering

Othmane Mazhar, Cristian R. Rojas, Carlo Fischione +1

We address the new problem of estimating a piece-wise constant signal with the purpose of detecting its change points and the levels of clusters. Our approach is to model it as a n…