A review of machine learning-based photovoltaic output power forecasting: Nordic context

BD Dimd, S Völler, U Cali, OM Midtgård - IEEE Access, 2022 - ieeexplore.ieee.org
Motivated by factors such as the reduction in cost and the need for a shift towards achieving
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …

Predictive coordinated and cooperative voltage control for systems with high penetration of PV

S Mahdavi, H Panamtash… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This article proposes a predictive coordinated and cooperative voltage control method in a
power distribution system with high penetration of photovoltaic (PV) units. First, an integrated …

Probabilistic solar power forecasting: A review and comparison

H Panamtash, S Mahdavi… - 2020 52nd North American …, 2021 - ieeexplore.ieee.org
The renewable energy use in power systems is growing during recent years. While
renewable energy resources provide cheap energy and much lower levels of pollution, their …

Predictive and cooperative voltage control with probabilistic load and solar generation forecasting

S Mahdavi, H Panamtash… - … Methods Applied to …, 2020 - ieeexplore.ieee.org
This paper proposes predictive cooperative voltage control method in a power system with
high penetration of photovoltaic (PV) units. Cooperative distributed control of the reactive …

Comparison of probabilistic forecasts for predictive voltage control

H Panamtash, S Mahdavi… - 2020 52nd North …, 2021 - ieeexplore.ieee.org
This paper explores predictive cooperative voltage control in distribution systems with highly
variable sources such as photovoltaics (PV). The goal is to maintain the voltage profile …

[PDF][PDF] Solar panel and battery sizing in connected and island mode distribution systems

H Panamtash, S Mahdavi - … RESEARCH PROGRESS IN APPUED …, 2020 - jms.procedia.org
In this study, a distribution system with very high penetration of Photo Voltaic (PV)
generation installed is considered. A method is proposed for battery and PV capacity …

[PDF][PDF] A Review of Machine Learning-based Photovoltaic Output Power Forecasting: Nordic Context

OLEM MIDTGÅRD - academia.edu
Motivated by factors such as the reduction in cost and the need for a shift towards achieving
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …

Atrial fibrillation detection method based on converting ECG to signal using both symptoms of AF

S Mahdavi, H Panamtash, Y Norouzi, S Norouzi - 2020 - mpra.ub.uni-muenchen.de
Atrial Fibrillation (AF) is one of the most common cardiac arrhythmias that is associated with
other kinds of cardiac cases including heart disease, risk of stroke and mortality [1]. The AF …

Neural Ensemble Concept Drift Aware Data Stream Classification

R Hamidi, MA Haeri - … Research Progress in Applied Science & …, 2020 - hal.science
Data stream mining becomes more and more critical nowadays. These algorithms can be
used in various scenarios in the industry and daily use. Dynamic networks, user-generated …