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2nd IMA conference on mathematics of robotics / / William Holderbaum, J. M. Selig, editors
2nd IMA conference on mathematics of robotics / / William Holderbaum, J. M. Selig, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (xx, 161 pages) : illustrations (some color)
Disciplina 629.8
Collana Springer Proceedings in Advanced Robotics Series
Soggetto topico Robotics - Mathematics
ISBN 3-030-91352-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Developing a Leader-Follower Kinematic-Based Control System for a Cable-Driven Hyper-Redundant Serial Manipulator -- Adapting Multi-Agent Swarm Robotics to Achieve Synchronised Behaviour from Production Line Automata -- Synthesis of Planar Stiffness -- Using Monodromy to Statistically Estimate the Number of Solutions -- On Orientation, Position, and Attitude Singularities of General 3R Chains -- Combinatorics of a Discrete Trajectory Space for Robot Motion Planning -- Active Matter as a Path Planning Interpreter -- Linear registration and robot motion planning.
Record Nr. UNINA-9910522966303321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Control of Energy Storage / / edited by William Holderbaum
Control of Energy Storage / / edited by William Holderbaum
Pubbl/distr/stampa Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2017
Descrizione fisica 1 online resource (318 pages) : illustrations
Disciplina 621.3126
Soggetto topico Energy storage
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674379203321
Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Control of Energy Storage / / edited by William Holderbaum
Control of Energy Storage / / edited by William Holderbaum
Pubbl/distr/stampa Basel : , : MDPI, , 2017
Descrizione fisica 1 online resource (vii, 306 pages) : illustrations
Disciplina 621.317
Soggetto topico Power electronics
ISBN 3-03842-495-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Special Issue Editor.v -- Preface to "Control of Energy Storage"vii -- Timur Yunusov, Maximilian J. Zangs and William Holderbaum Control of Energy Storage Reprinted from: Energies 2017, 10(7), 1010; doi: 10.3390/en10071010.1 -- Enrico Telaretti, Mariano Ippolito and Luigi Dusonchet A Simple Operating Strategy of Small‐Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs Reprinted from: Energies 2016, 9(1), 12; doi: 10.3390/en9010012.6 -- Zuchang Gao, Cheng Siong Chin, Wai Lok Woo and Junbo Jia Integrated Equivalent Circuit and Thermal Model for Simulation of Temperature‐Dependent LiFePO4 Battery in Actual Embedded Application Reprinted from: Energies 2017, 10(1), 85; doi: 10.3390/en10010085.26 -- Stefano Pietrosanti, William Holderbaum and Victor M. Becerra Optimal Power Management Strategy for Energy Storage with Stochastic Loads Reprinted from: Energies 2016, 9(3), 175; doi: 10.3390/en9030175.48 -- Fei Lin, Xuyang Li, Yajie Zhao and Zhongping Yang Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit Reprinted from: Energies 2016, 9(4), 257; doi: 10.3390/en9040257.65 -- Huan Xia, Huaixin Chen, Zhongping Yang, Fei Lin and Bin Wang Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm Reprinted from: Energies 2015, 8(10), 11618-11640; doi: 10.3390/en81011618.83 -- Thomas Bruen, James Michael Hooper, James Marco, Miguel Gama and Gael Henri Chouchelamane Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium‐Ion 18650 Battery Cells Reprinted from: Energies 2016, 9(4), 255; doi: 10.3390/en9040255.104 -- Thai‐Thanh Nguyen, Hyeong‐Jun Yoo and Hak‐Man Kim Application of Model Predictive Control to BESS for Microgrid Control Reprinted from: Energies 2015, 8(8), 8798-8813; doi: 10.3390/en8088798.124 -- Woo‐Kyu Chae, Hak‐Ju Lee, Jong‐Nam Won, Jung‐Sung Park and Jae‐Eon Kim Design and Field Tests of an Inverted Based Remote MicroGrid on a Korean Island Reprinted from: Energies 2015, 8(8), 8193-8210; doi: 10.3390/en8088193.137 -- Linas Gelažanskas and Kelum A. A. Gamage Distributed Energy Storage Using Residential Hot Water Heaters Reprinted from: Energies 2016, 9(3), 127; doi: 10.3390/en9030127.153 -- Alexander Kies, Bruno U. Schyska and Lueder von Bremen The Demand Side Management Potential to Balance a Highly Renewable European Power System Reprinted from: Energies 2016, 9(11), 955; doi: 10.3390/en9110955.166 -- Rong Fu, Yingjun Wu, Hailong Wang and Jun Xie A Distributed Control Strategy for Frequency Regulation in Smart Grids Based on the Consensus Protocol Reprinted from: Energies 2015, 8(8), 7930-7944; doi: 10.3390/en8087930.180 -- Fabio Massimo Gatta, Alberto Geri, Regina Lamedica, Stefano Lauria, Marco Maccioni, Francesco Palone, Massimo Rebolini and Alessandro Ruvio Application of a LiFePO4 Battery Energy Storage System to Primary Frequency Control: Simulations and Experimental Results Reprinted from: Energies 2016, 9(11), 887; doi: 10.3390/en9110887.193 -- Jin‐Sun Yang, Jin‐Young Choi, Geon‐Ho An, Young‐Jun Choi, Myoung‐Hoe Kim and Dong‐Jun Won Optimal Scheduling and Real‐Time State‐of‐Charge Management of Energy Storage System for Frequency Regulation Reprinted from: Energies 2016, 9(12), 1010; doi: 10.3390/en9121010.209 -- Yuqing Yang, Weige Zhang, Jiuchun Jiang, Mei Huang and Liyong Niu Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles' Auxiliary for a Distribution Network with Renewable Energy Integration Reprinted from: Energies 2015, 8(10), 10718-10735; doi: 10.3390/en81010718.222 -- Maximilian J. Zangs, Peter B. E. Adams, Timur Yunusov, William Holderbaum and Ben A. Potter Distributed Energy Storage Control for Dynamic Load Impact Mitigation Reprinted from: Energies 2016, 9(8), 647; doi: 10.3390/en9080647.237 -- Zhihao Zhao, Yue Sun, Aiguo Patrick Hu, Xin Dai and Chunsen Tang Energy Link Optimization in a Wireless Power Transfer Grid under Energy Autonomy Based on the Improved Genetic Algorithm Reprinted from: Energies 2016, 9(9), 682; doi: 10.3390/en9090682.257 -- Yao‐Liang Chung A Novel Power‐Saving Transmission Scheme for Multiple‐Component‐Carrier Cellular Systems Reprinted from: Energies 2016, 9(4), 265; doi: 10.3390/en9040265.273 -- Seungmin Jung and Gilsoo Jang Development of an Optimal Power Control Scheme for Wave‐Offshore Hybrid Generation Systems Reprinted from: Energies 2015, 8(9), 9009-9028; doi: 10.3390/en8099009.291.
Record Nr. UNINA-9910765795603321
Basel : , : MDPI, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Core Concepts and Methods in Load Forecasting : With Applications in Distribution Networks / / Stephen Haben, Marcus Voss, William Holderbaum
Core Concepts and Methods in Load Forecasting : With Applications in Distribution Networks / / Stephen Haben, Marcus Voss, William Holderbaum
Autore Haben Stephen
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing, , 2023
Descrizione fisica 1 online resource (xv, 331 pages)
Disciplina 621.319
Soggetto topico Electric power distribution
ISBN 3-031-27852-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Primer on Distribution Electricity Networks -- Chapter 3. Primer on Statistics and Probability -- Chapter 4. Primer on Machine Learning -- Chapter 5. Time Series Forecasting: Core Concepts and Definitions -- Chapter 6. Load Data: Preparation, Analysis and Feature Generation -- Chapter 7. Verification and Evaluation of Load Forecast Models -- Chapter 8. Load Forecasting Model Training and Selection -- Chapter 9. Benchmark and Statistical Point Forecast Methods -- Chapter 10. Machine Learning Point Forecasts Methods -- Chapter 11. Probabilistic Forecast Methods -- Chapter 12. Load Forecast Process -- Chapter 13. Advanced and Additional Topics -- Chapter 14. Case Study: Low Voltage Demand Forecasts -- Chapter 15. Selected Applications and Examples -- Appendix.
Record Nr. UNINA-9910717408703321
Haben Stephen  
Cham : , : Springer International Publishing, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui