"Deep Learning Algorithms for Wind Forecasting: An Overview"

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Book	Author(s)	Year	Publisher
Machine Learning Algorithms for Data Scientists: An Overview	Vinaitheerthan Renganathan	2021	Vinaitheerthan Renganathan
Deep Learning: Algorithms and Applications	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Inside Deep Learning: Math, Algorithms, Models	Edward Raff	2022	Manning Publications
Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu; Andreas Spanias		Springer International Publishing
Inside Deep Learning: Math, Algorithms, Models [MEAP]	Edward Raff	2020	Manning Publications
Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Instant Wind Forecasting	Alan Watts	2010	Adlard Coles
Instant wind forecasting	Alan Watts	2002	Sheridan House
Hands-On Deep Learning for Finance: Implement deep learning techniques and algorithms to create powerful trading strategies	Luigi Troiano, Arjun Bhandari, Elena Mejuto Villa	2020	Packt Publishing
Hands-on deep learning algorithms with Python: master deep learning algorithms with extensive math by implementing them using TensorFlow /	Ravichandiran, Sudharsan,
Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production	Andres Rodriguez		Springer International Publishing
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms	S/ Sumathi$ Suresh Rajappa	2021	Nova Science Publishers
Algorithms for Reinforcement Learning	Csaba Szepesvári		Springer International Publishing
Algorithms for reinforcement learning	Csaba Szepesvári	2010	Morgan & Claypool
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction	Dipankar Deb; Harsh Dhiman andValentina Emilia Balas	2020	Academic Press
Techniques for forecasting wind waves and swell.	United States. Hydrographic Office.	1951
Deep Learning for EEG-based Brain-Computer Interfaces: Representations, Algorithms and Applications	Xiang Zhang, Lina Yao	2021	World Scientific
Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Deep Learning for Dummies	Mueller, John Paul; Massaron, Luca	2019	For Dummies
Technology in Language Learning: An Overview	Bryan Smith	2015	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Learning Algorithms for Wind Forecasting: An Overview	M. Lydia; G. Edwin Prem Kumar	Artificial Intelligence for Renewable Energy Systems	Ajay Kumar Vyas; S. Balamurugan; Kamal Kant Hiran; Harsh Dhiman	2022	John Wiley & Sons
Deep Learning Approach for Wind Power Forecasting	Nishant Saxena; Rahul Kumar; Rachit Saxena; Sri Krishna Mishra; Ritu Jain; Sujit Kumar Verma	Advances in Communication, Devices and Networking: Proceedings of ICCDN 2021	Sourav Dhar; Dinh-Thuan Do; Samarendra Nath Sur; Howard Chuan-Ming Liu	1st ed. 2023	Springer Nature Singapore
FWS-DL: forecasting wind speed based on deep learning algorithms	S. Oswalt Manoj; J.P. Ananth; M. Rohini; Balan Dhanka; N. Pooranam; Sajeev Ram Arumugam	Artificial Intelligence for Renewable Energy Systems	Abhishek Kumar; Arun Srivastav; Ashutosh Dubey; Sushil Narang andVicente García-Díaz	2022	Woodhead Publishing
Deep Learning: An Overview	Armando Vieira; Bernardete Ribeiro	Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing	Armando Vieira; Bernardete Ribeiro	1st ed.	Apress
Wind Power Forecasting via Deep Learning Methods	Fazıl Gökgöz; Fahrettin Filiz	Green Energy and Infrastructure: Securing a Sustainable Future	Jacqueline A. Stagner; David S-K. Ting	2020	Routledge
61 Overview of Machine Learning Algorithms for Weather Forecasting		Real-Time Cloud Computing and Machine Learning Applications	Tulsi Pawan Fowdur	2021	Nova Science Publishers, Inc.
Deep Learning Algorithms	Swapnil Raj	International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing: Proceedings of IEMAICLOUD 2021	Fausto Pedro García Márquez	1st ed. 2022	Springer International Publishing
Deep Learning Algorithms		Natural Language Processing with Spark NLP: Learning to Understand Text at Scale	Alex Thomas	2020	O'Reilly Media
Deep learning algorithms		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Deep learning algorithms		Python Deep Learning	Valentino Zocca; Gianmario Spacagna; Daniel Slater; Peter Roelants	2017	Packt Publishing - ebooks Account
Deep Reinforcement Learning: An Overview	Seyed Sajad Mousavi; Michael Schukat; Enda Howley	Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume 2	Yaxin Bi; Supriya Kapoor; Rahul Bhatia	1st ed. 2018	Springer International Publishing
An Overview of Deep Learning	Zhaoqiang Xia	Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
Deep Learning Techniques: An Overview	Amitha Mathew; P. Amudha; S. Sivakumari	Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020	Aboul Ella Hassanien; Roheet Bhatnagar; Ashraf Darwish	1st ed. 2021	Springer Nature Singapore
Comparative Investigation of Machine Learning Algorithms for Wind Power Forecasting	Ayush Kumar; Neeraj Kumar; Bharat Singh; Aditya Chaudhary; Karan Dikshit; Akash Sharma	Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020	Jawar Singh; Sudhir Kumar; Umakanta Choudhury	1st ed. 2021	Springer Nature Singapore
Financial Time Series Forecasting Applying Deep Learning Algorithms	Erik Solís; Sherald Noboa; Erick Cuenca	Information and Communication Technologies: 9th Conference of Ecuador, TICEC 2021, Guayaquil, Ecuador, November 24–26, 2021, Proceedings	Juan Pablo Salgado Guerrero; Janneth Chicaiza Espinosa; Mariela Cerrada Lozada; Santiago Berrezueta-Guzman	1st ed. 2021	Springer International Publishing
Deep Feature Selection for Wind Forecasting-I	C. Ramakrishnan; S. Sridhar; Kusumika Krori Dutta; R. Karthick; C. Janamejaya	Artificial Intelligence for Renewable Energy Systems	Ajay Kumar Vyas; S. Balamurugan; Kamal Kant Hiran; Harsh Dhiman	2022	John Wiley & Sons
Deep Feature Selection for Wind Forecasting-II	S. Oswalt Manoj; J.P. Ananth; Balan Dhanka; Maharaja Kamatchi	Artificial Intelligence for Renewable Energy Systems	Ajay Kumar Vyas; S. Balamurugan; Kamal Kant Hiran; Harsh Dhiman	2022	John Wiley & Sons
Forecasting: An Overview	Rob J. Hyndman	International Encyclopedia of Statistical Science	Miodrag Lovric	2011	Springer Berlin Heidelberg
Day-Ahead Wind Power Forecasting Using Machine Learning Algorithms	R. Akash; A. G. Rangaraj; R. Meenal; M. Lydia	Computational Methods and Data Engineering: Proceedings of ICMDE 2020, Volume 1	Vijendra Singh; Vijayan K. Asari; Sanjay Kumar; R. B. Patel	1st ed. 2021	Springer Nature Singapore
Wind power ramp forecasting based on deep metric learning	Zixin Chen; Yongqian Liu; Aimei Lin; Shuang Han; Li Li; Jie Yan*	Emerging Developments in the Power and Energy Industry: Proceedings of the 11th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2019), April 19-21, 2019, Xiamen, China	Rodolfo Dufo-López; Jaroslaw Krzywanski; Jai Singh	2019	Routledge
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