Power Management Apparatus Forecasting Demand Control
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Solution Overview
Problem
Existing power management systems face challenges in accurately forecasting electric power demand, leading to discrepancies between forecasted and actual demand, which can result in inefficient power transactions and increased costs due to the need for real-time procurement at higher prices.
Innovation Solution
A power management apparatus and method that includes a power-demand forecasting section, a power measurement section, a demand control section, and a demand issuance section to adjust and manage electric power consumption based on forecasted and actual demand, allowing for real-time adjustments to align demand with forecasted levels, thereby eliminating the need for costly real-time power procurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power demand is forecasted based on meteorological data and neural network learning, then forecast capability is improved, but accuracy deteriorates when actual weather differs from forecasted weather
Solution Approach 1:
The patent implements a feedback mechanism where the actual power demand is measured and compared with the forecasted demand. The demand control section uses this feedback information to determine adjustment demands, continuously improving forecast accuracy by learning from the difference between predicted and actual values.
Solution Approach 2:
The system performs preliminary power demand forecasting before the actual consumption period using meteorological data and neural network learning. This advance prediction allows the system to prepare adjustment demands in advance, reducing the impact of weather variations on final accuracy.
2Reliability
If real-time power procurement is performed to meet actual demand, then demand satisfaction is improved, but cost increases due to higher real-time prices
Solution Approach 1:
The system forecasts power demand in advance and issues adjustment demands to users before the peak consumption period. This preliminary action allows users to modify their consumption patterns proactively, avoiding the need for expensive real-time power procurement while still meeting actual demand requirements.
Solution Approach 2:
The demand control system enables users to self-adjust their power consumption based on the issued demands. Users autonomously modify their usage patterns in response to the control signals, reducing peak demand without requiring centralized real-time procurement interventions.
3Ease of operation
If power consumption is not adjusted, then user convenience is improved, but forecast accuracy deteriorates due to deviation from predicted demand
Solution Approach 1:
The system provides continuous feedback to users through demand adjustments based on the difference between forecasted and actual consumption. This feedback loop maintains forecast accuracy by systematically addressing deviations while allowing users to maintain their preferred consumption habits with minimal intervention.
Solution Approach 2:
The demand control section issues adjustment demands selectively rather than continuously. It applies partial corrections only when necessary to bridge the gap between forecasted and actual demand, minimizing user inconvenience while maintaining sufficient forecast accuracy for business operations.
Data Source
AI summary
Disclosed herein is a power management apparatus including: a power-demand forecasting section configured to forecast a power demand made by an electric-power demander at a future time; a power measurement section configured to acquire a power consumption of the electric-power demander for the time; a demand control section configured to determine a demand for urging the electric-power demander to adjust the amount of electric power consumed by the electric-power demander on the basis of the power demand forecasted by the power-demand forecasting section and the power consumption acquired by the power measurement section; and a demand issuance section configured to issue the demand determined by the demand control section to the electric-power demander.