Energy Allocation Using Demand and Supply Difference Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy allocation methods for companies are manual and prone to errors, failing to achieve energy conservation and carbon reduction goals due to reliance on human expertise and lack of automated decision-making.
Innovation Solution
An energy allocation method and computing apparatus that determines demand and supply differences for target energy sources using machine learning algorithms to recommend optimal energy allocation, considering limit ratios, electricity consumption, and payment amounts, and adjusts based on variation factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual energy allocation methods are used, then companies can make energy decisions, but the methods are prone to errors and fail to achieve energy conservation and carbon reduction goals
Solution Approach 1:
The patent replaces manual mechanical decision-making processes with an automated computational system. The processor executes algorithms that automatically calculate energy allocation by determining demand for target energy sources, comparing supply differences, and generating recommended amounts based on multiple factors including limit ratios and payment amounts, eliminating human error and subjectivity
Solution Approach 2:
The system enables self-service energy allocation optimization by automatically processing energy consumption data, calculating demands and supply differences, and generating allocation recommendations without requiring manual intervention. The computing apparatus independently performs the entire analysis and recommendation generation process
2Reliability
If companies purchase green electricity with high recognition level, then carbon reduction goals are supported, but the price is significantly higher and supply may be insufficient
Solution Approach 1:
The patent changes the decision-making parameters by introducing a comprehensive evaluation system that considers multiple factors simultaneously: limit ratios of different energy sources, supply differences between target and other energy sources, payment amounts, and energy consumption statistics. This multi-parameter approach enables optimization of the mix between green electricity and other energy sources to achieve carbon reduction goals while managing cost and supply constraints
3Adaptability or versatility
If companies construct their own power generation equipment, then energy autonomy is improved, but the scope of construction is limited and external power purchase is still needed
Solution Approach 1:
The patent creates a universal energy allocation system that handles multiple energy source types (green electricity, self-generated power, and external purchases) through a single integrated computational framework. The system calculates optimal allocation across all energy sources based on unified criteria including limit ratios, supply differences, and payment amounts, enabling companies to efficiently manage diverse energy portfolios without needing separate decision-making processes for each energy source
Data Source
AI summary
An energy allocation method and computing apparatus. In the method, the demand for target energy is determined based on the limit ratio and electricity consumption, where the limit ratio is the proportion of target energy to all energy, and the electricity consumption is the statistic of all energy used. The supply difference between the target energy and other energy sources in all energy sources is compared, where all energy sources include the target energy source and other energy sources, and the supply difference is the difference in the payment amount to obtain energy. A target condition corresponding to the target energy is determined based on the demand and supply differences, and the recommended amount of target energy is determined based on the target condition.