Renewable Energy and Climate Change Renewable Energy and Climate Change

Renewable Energy and Climate Change

Proceedings of REC 2019

Dipankar Deb y otros
    • USD 169.99
    • USD 169.99

Descripción editorial

This book gathers selected papers presented at the First International Conference on Renewable Energy and Climate Change (REC 2019), which was held at the Institute of Infrastructure Technology Research and Management (IITRAM) from 1 to 2 February 2019. The topics covered include renewable (green) energy and sources including wind power, hydropower, solar energy, biomass, biofuel, geothermal energy, wave energy, tidal energy, hydrogen & fuel cells, energy storage, new trends and technologies for renewable energies, policies and strategies for renewable energies, smart grids, batteries, and e-mobility, control techniques for renewable energies, hybrid renewable energies, renewable energy research and applications for industries, applications of renewable energies in electrical vehicles and other allied areas, artificial intelligence and machine learning studies for renewable energies, renewable energy systems in smart cities, climate change mitigation, carbon trading, carbon capture andutilization, and carbon dioxide refrigeration systems.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2019
3 de septiembre
IDIOMA
EN
Inglés
EXTENSIÓN
327
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
41.5
MB
Adaptive Hybrid Control of Quadrotor Drones Adaptive Hybrid Control of Quadrotor Drones
2023
Adaptive Compensation of Nonlinear Actuators for Flight Control Applications Adaptive Compensation of Nonlinear Actuators for Flight Control Applications
2021
Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics
2021
Fractional Modeling and Controller Design of Robotic Manipulators Fractional Modeling and Controller Design of Robotic Manipulators
2020
Decision and Control in Hybrid Wind Farms Decision and Control in Hybrid Wind Farms
2019
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
2020