USE OF AI AND CLOUD TECHNOLOGY IN THE SOLAR INDUSTRY
                     USE  OF  AII  AND  CLOUD  TECHNOLOGY  
IIN  THE  SOLAR  IINDUSTRY
INTODUCTION
• Solar forecasting has improved over time.
• Applying artificial intelligence in solar energy has been a driver of this 
improvement.
Source: BizTech Magazine
Objectives of AI research
• Understand human cognition 
• Cost-effective automation replaces humans in intelligent tasks
• Cost-effective intelligent amplification builds systems to help humans think 
better, and faster. 
• Superhuman intelligence builds programs to exceed human intelligence. 
Source: Fortune
 MAJOR CATEGORIES OF RENEWABLE TECHNOLOGIES 
• Energy Forecasting  – Industry data is used to train AI algorithms to make 
accurate forecasts, helping to inform power supply and demand
• Energy Efficiency – AI is used to track and optimize how energy efficiency
• Energy Accessibility – AI is used to model utility cost savings
Source: Towards Data Science
AI IN SOLAR FORECASTING
• The application of artificial intelligence-driven solar forecasting to the 
operation of solar power plants could improve the efficiency.
• This can be done by better managing one of the most significant 
impediments to its constancy i.e. weather variability.
Source: Emerj
UNDERSTANDING AI AND FORECASTING TECHNIQUES
• AI can be used in prediction of performance and control of renewable 
energy processes – analytic computer codes use complex algorithms 
solving differential equations.
Source: IGS
SOLAR FORECASTING IN AUSTRALIA
• In Australia, the Australian Energy Market Operator (AEMO) announced in 
early 2018 that solar plants could self-forecast the amount of electricity 
generated.
• This has prompted Australian researchers to work toward developing 
technologies to improve short-term weather forecasting.
Source: ET Government
Neural networks improving solar power forecasting
• The combination of neural networks and pattern sequences helps improve 
solar forecasting.
• It can be used with different clustering and cluster-sequence extraction 
algorithms, and can be applied to multiple related time sequences
Source: PV Magazine
DIGITAL INTERFACE
• The digital interface has the following features:
– Each robot can be controlled through a PC or mobile interface.
– Warnings are directly communicated to the user by each robot
– Each robot gives their running time, water saved, man-hours saved, 
etc. 
Source: ET  CIO
Use Of AI And ML 
• AI is advancing the next generation of robots and analytics platforms.
• This will provide more accurate and automated solar panel cleaning robots 
which will keep the efficiency of the panels up to the mark.
Source: Fortune
CONCLUSION
• In future, the Solcast technology will improve operations of solar energy.
• The further development of this intelligent technology will be a powerful 
tool to improve accessibility to solar resources.
Source: BizTech  Magazine