The Pipeline based Point of Energy Generation and Power Consumption using Fuel Explodes Scheme

generally, the materials used for electrical work can be divided into three maj or categories. They are called Conductors, Insulators and Semi Conductors. Materials that can transmit (carry) electricity from one place to another are called electrical conductors. Materials that do not conduct electricity are also provided as insulators. Materials that have half of these two properties are called semiconductors. That means it has low electrical conductivity. Conductors and insulators are mostly used in the field of electronics. Semiconductors are used in electronics industry. Find out the types and properties of these (conductor, insulator). Wires that carry (conduct) electricity from a point of supply to a load using electricity are called conductors. Objects that work using electricity are called loads. The Electric Fan, Radio, Ionbox, Mixer, Grinder, Bulb etc. Generally all types of metals are used as conductors. Electricity can flow through certain metals very easily..

[1]  S. Ullah,et al.  Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM , 2022, Big Data Res..

[2]  Gautam Srivastava,et al.  Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers , 2022, Renewable and Sustainable Energy Reviews.

[3]  B. Twala,et al.  Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability , 2022, Sensors.

[4]  N. G. Olaiya,et al.  OCHSA: Designing Energy-Efficient Lifetime-Aware Leisure Degree Adaptive Routing Protocol with Optimal Cluster Head Selection for 5G Communication Network Disaster Management , 2022, Scientific Programming.

[5]  N. Adhikari,et al.  deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing , 2022, International journal of health sciences.

[6]  Vineet Singh Sikarwar,et al.  Advancements in solar technologies for sustainable development of agricultural sector in India: a comprehensive review on challenges and opportunities , 2022, Environmental Science and Pollution Research.

[7]  Krishna Bikram Shah,et al.  Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model , 2022, BOHR International Journal of Neurology and Neuroscience.

[8]  G. Ramesh,et al.  The Performance Evolution of Antivirus Security Systems in Ultradense Cloud Server Using Intelligent Deep Learning , 2022, BOHR International Journal of Computational Intelligence and Communication Network.

[9]  J. Logeshwaran,et al.  An Innovation in the Development of a Mobile Radio Model for a Dual-Band Transceiver in Wireless Cellular Communication , 2022, BOHR International Journal of Computational Intelligence and Communication Network.

[10]  Javid Ahmad,et al.  IoT-TPMS: An innovation development of triangular patient monitoring system using medical internet of things , 2022 .

[11]  Yaser Al-Lahham,et al.  Prediction of Electrical Power Consumption in Jordan , 2021, 2021 22nd International Arab Conference on Information Technology (ACIT).

[12]  Xinghua Liu,et al.  Operation Strategy for Community Integrated Energy Systems Considering Wind and Solar Power Consumption , 2021, 2021 40th Chinese Control Conference (CCC).

[13]  Bassem Kahouli,et al.  Understanding the relationship between electric power consumption, technological transfer, financial development and environmental quality , 2021, Environmental Science and Pollution Research.

[14]  Yu He,et al.  Electric Vehicle Routing Problem with Battery Swapping Considering Energy Consumption and Carbon Emissions , 2020, Sustainability.

[15]  Ywh-Leh Chou,et al.  An energy-aware scheduling algorithm under maximum power consumption constraints , 2020 .

[16]  Hichem Snoussi,et al.  A deep learning approach for anomaly detection and prediction in power consumption data , 2020, Energy Efficiency.

[17]  Ashok K. Turuk,et al.  Exploring power consumption reduction in centralized radio access for energy‐efficient centralized‐Internet of Things implementation , 2020, Trans. Emerg. Telecommun. Technol..

[18]  Munir Ahmad,et al.  Empirics on heterogeneous links among urbanization, the intensity of electric power consumption, water-based emissions, and economic progress in regional China , 2020, Environmental Science and Pollution Research.

[19]  Mubashir Ali,et al.  AN IOT BASED APPROACH FOR MONITORING SOLAR POWER CONSUMPTION WITH ADAFRUIT CLOUD , 2020 .

[20]  L. J.,et al.  The Artificially Intelligent Switching Framework for Terminal Access Provides Smart Routing in Modern Computer Networks , 2020, BOHR International Journal of Smart Computing and Information Technology.

[21]  Jun Zhao,et al.  A numerical analysis of power consumption differences between planning and operation stages using mutual information , 2019, 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2).

[22]  Mengjiao Wang,et al.  Review of renewable energy-based hydrogen production processes for sustainable energy innovation , 2019, Global Energy Interconnection.

[23]  Sung-Bae Cho,et al.  Predicting residential energy consumption using CNN-LSTM neural networks , 2019, Energy.

[24]  Kamaruzzaman Sopian,et al.  Power Consumption Modeling based on Real-Time Data Traffic for Balancing Power Supply and Energy Demand to Develop Green Telecommunication Tower: A Case Study , 2019, Engineering, Technology & Applied Science Research.

[25]  Bhupendra Singh,et al.  Wireless Disaster Monitoring and Management System for Dams , 2015 .

[26]  Chalavadi Krishna Mohan,et al.  View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks , 2014, ACCV Workshops.

[27]  Rajesh Singh,et al.  Land Slide detection and monitoring system using wireless sensor networks (WSN) , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[28]  B. D. Parameshachari,et al.  Partial Image Encryption Algorithm Using Pixel Position Manipulation Technique: The SMART Copyback System , 2014, 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology.