3 citations · 4 across the 6 of their papers we have counts for
8 papers
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
Arghavan Zare-Noghabi, Morteza Shabanzadeh, Hossein Sangrody
An accurate load forecasting has always been one of the main indispensable parts in the operation and planning of power systems. Among different time horizons of forecasting, while…
Weather Forecasting Error in Solar Energy Forecasting
Hossein Sangrody, Morteza Sarailoo, Ning Zhou +3
As renewable distributed energy resources (DERs) penetrate the power grid at an accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) energy fo…
On the Performance of Forecasting Models in the Presence of Input Uncertainty
Hossein Sangrody, Morteza Sarailoo, Ning Zhou +2
Nowadays, with the unprecedented penetration of renewable distributed energy resources (DERs), the necessity of an efficient energy forecasting model is more demanding than before.…
Reliability Assessment of Distribution System Using Fuzzy Logic for Modelling of Transformer and Line Uncertainties
Ahmad Shokrollahi, Hossein Sangrody, Mahdi Motalleb +3
Reliability assessment of distribution system, based on historical data and probabilistic methods, leads to an unreliable estimation of reliability indices since the data for the d…
Back-to-back Converter Control of Grid-connected Wind Turbine to Mitigate Voltage Drop Caused by Faults
Fattah Hassanzadeh, Hossein Sangrody, Amin Hajizadeh +1
Power electronic converters enable wind turbines, operating at variable speed, to generate electricity more efficiently. Among variable speed operating turbine generators, permanen…
DG-Embedded Radial Distribution System Planning Using Binary-Selective PSO
Ahvand Jalali, S K. Mohammadi, H. Sangrody +1
With the increasing rate of power consumption, many new distribution systems need to be constructed to accommodate connecting the new consumers to the power grid. On the other hand…
Probabilistic Models for Daily Peak Loads at Distribution Feeders
Hossein Sangrody, Ning Zhou, Xingye Qiao
Load forecasting at distribution networks is more challenging than load forecasting at transmission networks because its load pattern is more stochastic and unpredictable. To plan…
An Initial Study on Load Forecasting Considering Economic Factors
Hossein Sangrody, Ning Zhou
This paper proposes a new objective function and quantile regression (QR) algorithm for load forecasting (LF). In LF, the positive forecasting errors often have different economic…