Dealing with uncertainty in automated operational planning for residential fuel cell system: A comparative study of state-of-the-art approaches

Engineering & Materials Science

• Computer simulation 10%
• Costs 7%
• Electricity 13%
• Electrolytes 36%
• Energy conservation 14%
• Fuel cells 100%
• Hot Temperature 8%
• Machine learning 13%
• Planning 71%
• Polymers 27%
• Time series 32%
• Uncertainty 70%
• Water 10%