State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
R Wazirali, E Yaghoubi, MSS Abujazar… - Electric power systems …, 2023 - Elsevier
Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …
operation because more precise forecasts mean reduced risk and improved stability and …
[HTML][HTML] Bio-inspired optimization-based path planning algorithms in unmanned aerial vehicles: A survey
Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
Novel meta-heuristic algorithm for feature selection, unconstrained functions and engineering problems
This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
[HTML][HTML] Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm
The world is still trying to recover from the devastation caused by the wide spread of COVID-
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
19, and now the monkeypox virus threatens becoming a worldwide pandemic. Although the …
[HTML][HTML] Feature selection in wind speed forecasting systems based on meta-heuristic optimization
Technology for anticipating wind speed can improve the safety and stability of power
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …
[HTML][HTML] Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects in hyper-arid regions
Although solar energy harnessing capacity varies considerably based on the employed
solar energy technology and the meteorological conditions, accurate direct normal …
solar energy technology and the meteorological conditions, accurate direct normal …
Robust speech emotion recognition using CNN+ LSTM based on stochastic fractal search optimization algorithm
One of the main challenges facing the current approaches of speech emotion recognition is
the lack of a dataset large enough to train the currently available deep learning models …
the lack of a dataset large enough to train the currently available deep learning models …
[PDF][PDF] Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm.
Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …
optimization problems from various types of applications and fields. Several metaheuristics …
A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction
Hepatocellular carcinoma (HCC) is a form of liver cancer that is widespread in Europe,
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …
[HTML][HTML] Enhancement of the cast block algorithm based on novel S-box for image encryption
Background and Aim: due to the rapid growth of data communication and multimedia system
applications, security becomes a critical issue in the communication and storage of images …
applications, security becomes a critical issue in the communication and storage of images …