Solar radiation forecasting using artificial neural networks considering feature selection

R Nematirad, A Pahwa - 2022 IEEE Kansas Power and Energy …, 2022 - ieeexplore.ieee.org
Due to various factors, including worries about greenhouse gas emissions, supporting
government policies, and decreased equipment costs, the expansion of solar-based energy …

Sizing and allocation of distributed energy resources for loss reduction using heuristic algorithms

AP Sirat, H Mehdipourpicha… - 2020 IEEE power …, 2020 - ieeexplore.ieee.org
Loss minimization in distribution networks (DN) is of great significance since the trend to the
distributed generation (DG) requires the most efficient operating scenario possible for …

A multi-application energy management of behind-the-meter battery energy storage system

R Karandeh, T Lawanson… - 2020 52nd North …, 2021 - ieeexplore.ieee.org
Over the past few years, there has been a dramatic growth in penetration of the behind-the-
meter (BTM) distributed energy resources (DERs), including small-scale renewable energy …

Comparison of designs utilizing dual phase magnetic material in high specific power electrical machines for aerospace applications

R Hemmati, S Vahid, ELR Ayman - … International Conference on …, 2020 - ieeexplore.ieee.org
There has been an increasing demand for high specific power electric machines for
hybrid/electric aerospace applications in the past few years. Among various types of electric …

A new approach in optimal control of step-down converters based on a switch-state controller

AP Sirat, N Zendehdel - 2020 IEEE Texas Power and Energy …, 2020 - ieeexplore.ieee.org
In this paper, an optimal approach based on on-off controller is used to optimally control a
DC-DC step-down converter. It is shown that the conventional controller techniques of DC …

The voltage regulation of boost converters using dual heuristic programming

S Saadatmand, M Kavousi… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
In this paper, a dual heuristic programming controller is proposed to control a boost
converter. Conventional controllers such as proportional-integral-derivative (PID) or …

Optimal Solar plant placement using holomorphic embedded power Flow Considering the clustering technique in uncertainty analysis

N Ghaffarzadeh, H Faramarzi - Journal of Solar Energy Research, 2022 - jser.ut.ac.ir
Increasing energy consumption and reducing fossil energy reserves and its environmental
consequences can lead to the use of clean and renewable energy sources such as solar …

An efficient scenario-based stochastic energy management of distribution networks with distributed generation, PV module, and energy storage

MR Narimani, A Azizivahed, E Naderi - arXiv preprint arXiv:1910.07109, 2019 - arxiv.org
Incorporating Renewable Energy Sources (RES) incurs a high level of uncertainties to
electric power systems. This level of uncertainties makes the conventional energy …

Demand side management for Homes in smart grids

MR Narimani - 2019 North American Power Symposium …, 2019 - ieeexplore.ieee.org
Electricity usage is a major portion of utility bills and the best place to start lowering them. An
effective home energy management approach is introduced to decrease customers' …

Value gradient learning approach in power and frequency regulation of grid-connected synchronverters

S Saadatmand, H Alharkan, P Shamsi… - 2020 IEEE Power and …, 2020 - ieeexplore.ieee.org
In this paper, a neural network adaptive critic design (ACD) method based on value gradient
learning (VGL) is used to optimally control a grid-connected synchronverter. The main …