Artificial intelligence for renewable energy systems /

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advance...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Dubey, Ashutosh Kumar
Format: eBook
Language:English
Published: Cambridge, MA : Woodhead Publishing, 2022.
Series:Woodhead Publishing in energy.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Techno-economic study of off-grid renewable energy systems in Pindar and Saryu Valleys, Uttarakhand, India / S. Chauhan, R. Pande and S. Sharma
  • Analyzing predictive ability of artificial neural network-based short-term forecasting algorithms for temperature and wind speed / J.A. Sunglee and Y. Beeharry
  • Role of renewable energy in attaining sustainable development / Mayank Pandey, Deepak Gusain and Saket Sharma
  • Biogas from waste and nanoparticles as renewable energy: current status and outlook / Manish Kumar Dwivedi, Suvashish Kumar Pandey and Prashant Kumar Singh
  • Microbial fuel cells: potentially sustainable technology for bioelecticity production using palm oil mill effluents / Sylvester Chibueze Izah, Ayobami Omozemoji Aigberua and Arun Lal Srivastav
  • Applying artificial intelligence to predict green concrete compressive strength / Sarvesh PS Rajput
  • Case study analysis of solar tree for public spaces / S Selva Anand and B A Mookambika
  • Recent advances in the production of renewable biofuels using microalgae / Lata Rani, Arun Lal Srivastav, Jyotsna Kaushal, Ajmer Singh Grewal, Ashutosh Kumar Dubey, Abhishek Kumar and Sushil Kumar Narang
  • Artificial intelligence and technology in weather forecasting and renewable energy systems: emerging techniques and worldwide studies / Vishal Dutt and Shweta Sharma
  • Different normalization techniques as data preprocessing for one step ahead forecasting of solar global horizontal irradiance / Pardeep Singla, Manoj Duhan and Sumit Saroha
  • Artificial intelligence-driven power demand estimation and short-, medium-, and long-term forecasting / Dwijendra Nath Dwivedi and Abhishek Gupta
  • Challenges and remediation for global warming to achieve sustainable development / Mohammad Yusuf, Leila Bazli and Bawadi Abdullah
  • Utilizing artificial intelligence for environmental sustainability / Neha Mumtaz, Tabish Izhar, Govind Pandey and Pawan Kumar Labhasetwar
  • Alleviating biogas generation with waste biomass: a renewable way forward? / Dipankar Ghosh, Somalia Saha, Arpan Roy Chowdhury, Rumi Gharami and Suvasree Fouzdar
  • Renewable energy and sustainable development: a global approach towards artificial intelligence / Nagendra Kumar, Dheeraj Kumar, Apurba Layek and Sunil Yadav
  • Data-driven predictive model development for efficiency and emission characteristics of a diesel engine fueled with biodiesel/diesel blends / Prabhakar Sharma
  • FWS-DL: forecasting wind speed based on deep learning algorithms / S. Oswalt Manoj, J.P. Ananth, M. Rohini, Balan Dhanka, N. Pooranam and Sajeev Ram Arumugam.