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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
Incorporating Renewable Energy Sources (RES) incurs a high level of uncertainties to
electric power systems. This level of uncertainties makes the conventional energy …
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' …
effective home energy management approach is introduced to decrease customers' …
Value gradient learning approach in power and frequency regulation of grid-connected synchronverters
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 …
learning (VGL) is used to optimally control a grid-connected synchronverter. The main …