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Development of deep learning method for predicting DC power based on renewable solar energy and multi-parameters function
S Al-Janabi, Z Al-Janabi - Neural Computing and Applications, 2023 - Springer
In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …
and electronics, in addition to the tremendous development in various industries, which has …
An intelligent returned energy model of cell and grid using a gain sharing knowledge enhanced long short-term memory neural network
S Al-Janabi, G Mohammed - The Journal of Supercomputing, 2024 - Springer
The reliable prediction of solar energy production and surplus is crucial for the stability of the
electricity grid and effective energy distribution, particularly during peak consumption …
electricity grid and effective energy distribution, particularly during peak consumption …
Planning and optimization of hybrid microgrid for reliable electrification of rural region
The microgrid is an economical and feasible alternative to provide the electrification of
current, and future scenarios as the depletion rate of conventional fuel are high. It is …
current, and future scenarios as the depletion rate of conventional fuel are high. It is …
Bi-level decision making in techno-economic planning and probabilistic analysis of community based sector-coupled energy system
The paper proposes a bi-level programming model for community participation in techno-
economic planning of an integrated energy system. Distribution system operator/System …
economic planning of an integrated energy system. Distribution system operator/System …
Quad-level MCDM framework to analyse technology combinations for sustainable micro-grid planning in uncertainty domain
The selection of appropriate technology combination (TC) is one of the most important
aspects of autonomous micro-grid (AMG) planning. To address this issue, this paper puts …
aspects of autonomous micro-grid (AMG) planning. To address this issue, this paper puts …
Forecasting urban water demand using different hybrid-based metaheuristic algorithms' inspire for extracting artificial neural network hyperparameters
This research offers a novel methodology for quantifying water needs by assessing weather
variables, applying a combination of data preprocessing approaches, and an artificial neural …
variables, applying a combination of data preprocessing approaches, and an artificial neural …
Multi-criteria valuation for sustainable autonomous microgrid planning: a comparative analysis of technology mix with different madm techniques
The selection of an appropriate combination of generation/storage technologies is
elementary for the planning of a reliable and sustainable autonomous microgrid (AMG). The …
elementary for the planning of a reliable and sustainable autonomous microgrid (AMG). The …
Optimal renewable distributed generation planning in radial distribution systems: a probabilistic and multi-objective approach with enhanced Young's double-slit …
Due to the stochastic nature of renewable energy sources, demand fluctuations, and the
complexity of distribution systems, addressing the Optimal Renewable Distributed …
complexity of distribution systems, addressing the Optimal Renewable Distributed …
The forecasting model research of rural energy transformation in Henan Province based on STIRPAT model
L Wen, Q Song - Environmental Science and Pollution Research, 2022 - Springer
In order to find the model of rural energy transformation in Henan Province. In this paper,
Tapio decoupling model is employed to investigate the pivotal factors affecting rural power …
Tapio decoupling model is employed to investigate the pivotal factors affecting rural power …
A hybrid HGWO-PSO approach for combined economic emission dispatch problem optimization
N Agouzoul, F Elmariami, A Oukennou… - … and Renewable Energy …, 2022 - Springer
Currently, thermal power station pollution requires special attention. In fact, the majority of
the energy demand is produced by thermal power industry. Therefore, the objective of …
the energy demand is produced by thermal power industry. Therefore, the objective of …