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Maximum Demand Indicator (MDI) is an instrument for measuring the maximum amount [clarification needed] of electrical energy required by a specific consumer during a given period of time. [1] MDI instruments record the base load requirement of electrical energy .
The unofficial term diversity, as distinguished from diversity factor, refers to the percent of time available that a machine, piece of equipment, or facility has its maximum or nominal load or demand; a 70% diversity means that the device in question operates at its nominal or maximum load level 70% of the time that it is connected and turned on.
The demand factor is always less than or equal to one. As the amount of demand is a time dependent quantity so is the demand factor. f Demand ( t ) = Demand Maximum possible demand {\displaystyle f_{\text{Demand}}(t)={\frac {\text{Demand}}{\text{Maximum possible demand}}}}
In electrical engineering the load factor is defined as the average load divided by the peak load in a specified time period. [1] It is a measure of the utilization rate, or efficiency of electrical energy usage; a high load factor indicates that load is using the electric system more efficiently, whereas consumers or generators that underutilize the electric distribution will have a low load ...
Peak demand on an electrical grid is the highest electrical power demand that has occurred over a specified time period (Gönen 2008). Peak demand is typically characterized as annual, daily or seasonal and has the unit of power. [ 1 ]
At any given price, the corresponding value on the demand schedule is the sum of all consumers’ quantities demanded at that price. Generally, there is an inverse relationship between the price and the quantity demanded. [1] [2] The graphical representation of a demand schedule is called a demand curve. An example of a market demand schedule
The maximum amount a consumer would be willing to pay for a given quantity of a good is the sum of the maximum price they would pay for the first unit, the (lower) maximum price they would be willing to pay for the second unit, etc. Typically these prices are decreasing; they are given by the individual demand curve, which must be generated by ...
Banker's algorithm is a resource allocation and deadlock avoidance algorithm developed by Edsger Dijkstra that tests for safety by simulating the allocation of predetermined maximum possible amounts of all resources, and then makes an "s-state" check to test for possible deadlock conditions for all other pending activities, before deciding whether allocation should be allowed to continue.