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 …

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 …

Planning and optimization of hybrid microgrid for reliable electrification of rural region

MM Kamal, I Ashraf - Journal of The Institution of Engineers (India): Series …, 2022 - Springer
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 …

Bi-level decision making in techno-economic planning and probabilistic analysis of community based sector-coupled energy system

N Kumar, K Namrata, A Samadhiya - Applied Intelligence, 2023 - Springer
The paper proposes a bi-level programming model for community participation in techno-
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

N Thakkar, P Paliwal - Arabian Journal for Science and Engineering, 2023 - Springer
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 …

Forecasting urban water demand using different hybrid-based metaheuristic algorithms' inspire for extracting artificial neural network hyperparameters

SL Zubaidi, H Al-Bugharbee, AW Alattabi, HM Ridha… - Scientific Reports, 2024 - nature.com
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 …

Multi-criteria valuation for sustainable autonomous microgrid planning: a comparative analysis of technology mix with different madm techniques

N Thakkar, P Paliwal - Iranian Journal of Science and Technology …, 2023 - Springer
The selection of an appropriate combination of generation/storage technologies is
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 …

A Tarraq, FA Hashim, A Bouaouda, F El Mariami… - Neural Computing and …, 2024 - Springer
Due to the stochastic nature of renewable energy sources, demand fluctuations, and the
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 …

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 …