activity
20162018
collaborators

8 papers

eess.SP2018

An Ensemble Framework For Day-Ahead Forecast of PV Output Power in Smart Grids

Muhammad Qamar Raza, N. Mithulananthan, Jiaming Li +2

The uncertainty associated with solar photo-voltaic (PV) power output is a big challenge to design, manage and implement effective demand response and management strategies. Theref…

math.OC2018

Network-Constrained Robust Unit Commitment for Hybrid AC/DC Transmission Grids

L. P. M. I. Sampath, M. Hotz, H. B. Gooi +1

The day-ahead energy and reserve management with transmission restrictions and voltage security limits is a challenging task for large-scale power systems in the presence of real-t…

stat.AP2018

Multivariate Prediction Intervals for Photovoltaic Power Generation

Faranak Golestaneh, Hoay Beng Gooi

The current literature in probabilistic forecasting is focused on quantifying the uncertainty of each random variable individually. This leads to the failure in informing about int…

stat.AP2018

Polyhedral Predictive Regions For Power System Applications

Faranak Golestaneh, Pierre Pinson, Hoay Beng Gooi

Despite substantial improvement in the development of forecasting approaches, conditional and dynamic uncertainty estimates ought to be accommodated in decision-making in power sys…

stat.AP2017

Ellipsoidal Prediction Regions for Multivariate Uncertainty Characterization

Faranak Golestaneh, Pierre Pinson, Rasoul Azizipanah-Abarghooee +1

While substantial advances are observed in probabilistic forecasting for power system operation and electricity market applications, most approaches are still developed in a univar…

math.OC2017

Assessing the Economics of Customer-Sited Multi-Use Energy Storage

Wuhua Hu, Ping Wang, Hoay Beng Gooi

This paper presents an approach to assess the economics of customer-sited energy storage systems (ESSs) which are owned and operated by a customer. The ESSs can participate in freq…