The Smart Analysis of Hydropower Energy Measurement in Power Plants using Industrial Machine Learning Model
暂无分享,去创建一个
[1] Jaime Lloret,et al. Prediction of Energy Production Level in Large PV Plants through AUTO-Encoder Based Neural-Network (AUTO-NN) with Restricted Boltzmann Feature Extraction , 2023, Future Internet.
[2] Jaime Lloret,et al. L‐RUBI: An efficient load‐based resource utilization algorithm for bi‐partite scatternet in wireless personal area networks , 2023, Int. J. Commun. Syst..
[3] 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.
[4] 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.
[5] Bing-Rui Chen,et al. Microseismic characteristics of rockburst development in deep TBM tunnels with alternating soft–hard strata and application to rockburst warning: A case study of the Neelum–Jhelum hydropower project , 2022, Tunnelling and Underground Space Technology.
[6] 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.
[7] 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.
[8] 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.
[9] Javid Ahmad,et al. IoT-TPMS: An innovation development of triangular patient monitoring system using medical internet of things , 2022 .
[10] Hongwei Lu,et al. Pumped hydropower storage potential and its contribution to hybrid renewable energy co-development: A case study in the Qinghai-Tibet Plateau , 2022, Journal of Energy Storage.
[11] Rajesh Singh,et al. Role of Wireless Aided Technologies in the Solid Waste Management: A Comprehensive Review , 2021, Sustainability.
[12] M. Mohsin,et al. How energy insecurity leads to energy poverty? Do environmental consideration and climate change concerns matters , 2021, Environmental Science and Pollution Research.
[13] Walid El Shafai,et al. Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste Management , 2021, Sensors.
[14] Hafiz Waqas Kamran,et al. Dynamic planning, conversion, and management strategy of different renewable energy sources: A Sustainable Solution for Severe Energy Crises in Emerging Economies , 2021 .
[15] Mohammad Farukh Hashmi,et al. A cost‐effective LoRa‐based customized device for agriculture field monitoring and precision farming on IoT platform , 2020, Int. J. Commun. Syst..
[16] N. Norouzi. The Pahlev Reliability Index: A measurement for the resilience of power generation technologies versus climate change , 2020 .
[17] J. R. Rodríguez Díaz,et al. Hydropower energy recovery in irrigation networks: Validation of a methodology for flow prediction and pump as turbine selection , 2020 .
[18] Z. Liang,et al. Rockburst prediction and stability analysis of the access tunnel in the main powerhouse of a hydropower station based on microseismic monitoring , 2020 .
[19] Karl-Heinrich Anders,et al. Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams , 2020, Remote. Sens..
[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] S. Hamburg,et al. Climate Impacts of Hydropower: Enormous Differences among Facilities and over Time. , 2019, Environmental science & technology.
[22] W. Zeng,et al. Experimental investigation of theoretical stability regions for ultra-low frequency oscillations of hydropower generating systems , 2019, Energy.
[23] François Avellan,et al. Analysis of emerging technologies in the hydropower sector , 2019, Renewable and Sustainable Energy Reviews.
[24] Tao Yang,et al. Greenhouse gas measurement from Chinese freshwater bodies: A review , 2019, Journal of Cleaner Production.
[25] Jonathan M. Gomes-Selman,et al. Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning , 2019, Nature Communications.
[26] T. Eldho,et al. Performance enhancement of a Darrieus hydrokinetic turbine with the blocking of a specific flow region for optimum use of hydropower , 2019, Renewable Energy.
[27] Anderson Rodrigo de Queiroz,et al. Hydropower revenues under the threat of climate change in Brazil , 2019, Renewable Energy.
[28] Rajashekarappa,et al. Identification of PCB faults using image processing , 2017, 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT).
[29] N. Pattabhi Ramaiah,et al. Enhancements to latent fingerprints in forensic applications , 2014, 2014 19th International Conference on Digital Signal Processing.