Recent technologies such as artificial intelligence, machine learning, and big data are essential for supporting healthcare monitoring systems, particularly for monitoring Monkeypox confirmed cases. Infected and uninfected cases around the world have contributed to a growing dataset, which is publicly available and can be used by artificial intelligence and machine learning to predict the confirmed cases of Monkeypox at an early stage. Motivated by this, we propose in this paper a new approach for accurate prediction of the Monkeypox confirmed cases based on an optimized Long Short-Term Memory (LSTM) deep network. To fine-tune the hyper-parameters of the LSTM-based deep network, we employed the Al-Biruni Earth Radius (BER) optimization algorithm; thus, the proposed approach is denoted by BER-LSTM. Experimental results show the effectiveness of the proposed approach when assessed using various evaluation criteria, such as Mean Bias Error, which is recorded as (0.06) using BER-LSTM. To prove the superiority of the proposed approach, six different machine learning models are included in the conducted experiments. In addition, four different optimization algorithms are considered for comparison purposes. The results of this comparison confirmed the superiority of the proposed approach. On the other hand, several statistical tests are applied to analyze the stability and significance of the proposed approach. These tests include one-way Analysis of Variance (ANOVA), Wilcoxon, and regression tests. The results of these tests emphasize the robustness, significance, and efficiency of the proposed approach.

Many factors affect the loading of the underground power cables, such as ambient temperature, depth of laying of cable, number of parallel circuits of cable, and thermal resistivity of the surrounding soil. One important factor, usually ignored, is the formation of dry zones around the underground power cables. Dry zones are usually formed around underground power cables under loading conditions due to the migration of moisture within the soil. In this paper, the effect of the formation of the dry zone on the ampacity of underground power cables is investigated. The derating factor for the formation of dry zones around underground power cables is suggested and calculated for different types of natural backfill soil. IEC 60287-1-3 is taken as a reference. Experimental work was conducted to study the phenomena of the dry zone as related to different types of soils.

Power transformers represent the largest portion of capital investment in transmission and distribution substations. One of the most important parameters governing a transformer’s life expectancy is the hot spot temperature value. The aim of this paper is to introduce hot-spot and top-oil temperature model as top oil and hot spot temperature rise over ambient temperature model and thermal model under liner and non-linear loads. For more accurate temperature calculations, in this paper thermal dynamic model by MATLAB is used to calculate the power transformer temperature. The hot spot, top oil and loss life of power transformer under harmonics load are calculated. The measured temperatures of 25MVA, 66/11kV, ONAF cooling temperatures are compared with the suggested dynamic model

This study proposes a complementary fault identification scheme for triple fed high‐voltage transmission lines (TFHVTLs). The current signals are captured from a single end measuring system of the TFHVTL. Then, the captured current signals are decomposed using wavelet multi‐resolution analysis technique. The proposed scheme is based on two criteria. The first criterion is dependent on the level of detail coefficients while the second one is dependent on the deviation of detail coefficients. The decision is obtained using an OR‐logic of the two criteria. Also, this study introduces the stability and sensitivity concepts for the fault identification process. In addition, a suggested fault identification sensitivity index is proposed to measure the efficacy of the proposed scheme. Also, different types of mother wavelets are assessed to show that the best mother wavelet, Haar, has high fault detection and classification performance. An ATP/EMTP package is used to simulate the tested part of the 500 kV Egyptian grid. The proposed scheme performance is corroborated under different operating conditions for load changes, fault locations, sampling frequencies of the monitored current, fault resistances, fault types, and inception angles. The proposed scheme is tested for series compensated TFHVTL at different compensation levels.

Purpose – The paper proposes to present the effect of the high voltage transmission lines on the metallic pipelines by calculating the induced voltage due to mutual inductance between the two circuits especially in short circuit conditions of high voltage overhead transmission lines. Design/methodology/approach – The electro magnetic transient program (EMTP) is used to simulate the high voltage transmission lines in normal case and in different faulty case conditions. A software is built on MATLAB program (M-file) to study the effects of various parameters on the magnitude of the induced voltage such as: separation distance between the high voltage transmission line and the metallic pipeline (horizontal distance), different cases of short circuits and normal operation case, the screening factor, and the soil resistivity. Findings – The three-phase to ground fault gives the least induced voltage, and phase to ground fault case is the most serious case. The induced voltage decreases with increasing the soil resistivity until 400?Om and after this, the induced voltage in the metallic pipeline increases with increasing the soil resistivity for all phase fault types. Research limitations/implications – It does not deal with all types of interference such as capacitive interference. Practical implications – This technique helps to know the electrical influence exerted by power line on a pipeline. So it can prevent the pipeline from posing a shock hazard rather than corrosion. Originality/value – This paper presents the effect of the high voltage transmission lines on the metallic pipelines by calculating the induced voltage due to mutual inductance between the two circuits especially in short circuit conditions of high voltage overhead transmission lines.