Renewable energy: Present research and future scope of Artificial Intelligence

被引:193
|
作者
Jha, Sunil Kr. [1 ]
Bilalovic, Jasmin [2 ]
Jha, Anju [2 ]
Patel, Nilesh [3 ]
Zhang, Han [4 ,5 ]
机构
[1] Univ Informat Technol & Management, Chair Math IT Fundamentals & Educ Technol Applica, PL-35225 Rzeszow, Poland
[2] Univ Informat Sci & Technol St Paul The Apostle, Fac Comp Sci & Engn, Ohrid 6000, North Macedonia
[3] Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA
[4] Shenzhen Univ, SZU NUS Collaborat Innovat Ctr Optoelect Sci & Te, Coll Optoelect Engn, Shenzhen 518060, Peoples R China
[5] Shenzhen Univ, Key Lab Optoelect Devices & Syst, Coll Optoelect Engn, Minist Educ & Guangdong Prov, Shenzhen 518060, Peoples R China
来源
RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2017年 / 77卷
关键词
Renewable energy; Wind energy; Solar energy; Geothermal energy; Hydro energy; Ocean energy; Bioenergy; Hydrogen energy; Hybrid renewable energy; Artificial Intelligence; TERM WIND-SPEED; LIFE-CYCLE ASSESSMENT; POWER POINT TRACKING; PARTICLE SWARM OPTIMIZATION; DISTRICT-HEATING SYSTEM; SUPPORT VECTOR MACHINES; DATA-ACQUISITION SYSTEM; FUZZY INFERENCE SYSTEM; FUEL-CELL PERFORMANCE; BEE COLONY ALGORITHM;
D O I
10.1016/j.rser.2017.04.018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The existence of sunlight, air and other resources on earth must be used in an appropriate way for human welfare while still protecting the environment and its living creatures. The exploitation of sunlight and air as a substantial Renewable Energy (RE) source is an important research and development domain over past few years. The present and future overtaking in RE mainly comprises of (i) the development of novel technology for optimum production from the available natural resources (ii) environmental awareness, and (iii) the better management and distribution system. Like other domains (food, health, accommodation, safety, etc.), Artificial Intelligence (AI) could assist in achieving the future goals of the RE. Statistical and biologically inspired AI methods have been implemented in several studies to achieve common and future aims of the RE. The present study summarizes the review of reviews and the state-of-the-art research outcomes related to wind energy, solar energy, geothermal energy, hydro energy, ocean energy, bioenergy, hydrogen energy, and hybrid energy. Particularly, the role of single and hybrid AI approaches in research and development of the previously mentioned sources of RE will be comprehensively reviewed.
引用
收藏
页码:297 / 317
页数:21
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