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Now showing items 31-40 of 44
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
(
Elsevier Ltd
, 2022 , Article Review)
Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. Decomposition-based hybrid models have gained ...
A comparative analysis to forecast carbon dioxide emissions
(
Elsevier Ltd
, 2022 , Article)
Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ...
Hybrid African vultures-grey wolf optimizer approach for electrical parameters extraction of solar panel models
(
Elsevier Ltd
, 2022 , Article)
Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. Due to its nonlinearity and multivariable characteristics, the TDM is a ...
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
(
Elsevier Ltd
, 2022 , Article)
Transmission lines (TLs) of power networks are often encountered with a number of faults. To continue normal operation and reduce the damage due to the TL faults, it is a must to identify and classify faults as early as ...
A New Transformer-Less Single-Phase Photovoltaic Inverter to Improve the Performance of Grid-Connected Solar Photovoltaic Systems
(
MDPI
, 2022 , Article)
Photovoltaic (PV) energy systems have found diverse applications in fulfilling the increasing energy demand worldwide. Transformer-less PV inverters convert the DC energy from PV systems to AC energy and deliver it to the ...
A structural overview on transformer and transformer-less multi level inverters for renewable energy applications
(
Elsevier Ltd
, 2022 , Article Review)
In general, multilevel inverters (MLIs) are regarded as advanced power conversion systems required for medium-voltage and high-power applications. The purpose of this article is to provide an overview of recently investigated ...
A state-of-the-art review on wind power converter fault diagnosis
(
Elsevier Ltd
, 2022 , Article Review)
The rapid expansion of installed wind energy capacity and the continuous development of wind turbine technology has drawn attention to operation and maintenance issues. In order to keep wind power a competitive energy ...
A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions
(
Elsevier Ltd
, 2022 , Article Review)
This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The swarm-based ...
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
(
MDPI
, 2022 , Article)
There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ...
Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm
(
China Electric Power Research Institute
, 2022 , Article)
This paper proposes a new cost-efficient, adaptive, and self-healing algorithm in real time that detects faults in a short period with high accuracy, even in the situations when it is difficult to detect. Rather than using ...