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Related Concept Videos

pV-Diagrams01:18

pV-Diagrams

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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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Decreasing Function01:27

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A decreasing function describes a relationship where the output consistently declines as the input increases. This means that for any two input values, if one is greater than the other, the corresponding output is smaller. Mathematically, a function f is decreasing on an interval I if for every x1 < x2​ in I, f (x1) > f (x2). This type of behavior is visually identified on a graph that slopes downward from left to right.The nature of a function can be analyzed by calculating...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
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Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Decreased Body Temperature01:29

Decreased Body Temperature

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A decreased body temperature can occur in patients with hypothermia and frostbite. Heat loss with extended cold exposure overpowers the body's ability to create heat, resulting in hypothermia. Core temperature readings help classify hypothermia. Mild hypothermia is temperatures between 32 °C (89.6 °F) and 35°C (95 °F) and is caused by impaired thermoregulation. Moderate hypothermia is temperatures between 28 C (82.4 °F) and 32 °C (89.6 °F) caused by...
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Decreased pulse rate01:14

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Bradycardia is a medical condition in which the heart rate is slower than normal. It occurs when the heart's natural pacemaker, the sinus node, generates slower electrical impulses than the standard rhythm. In adults, bradycardia is diagnosed when the pulse rate falls below 60 beats per minute, indicating a deviation from the normal heart rate range.
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Updated: Feb 12, 2026

Setting Limits on Supersymmetry Using Simplified Models
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Performance modeling and valuation of snow-covered PV systems: examination of a simplified approach to decrease

Lisa B Bosman1, Seth B Darling2

  • 1Purdue University, 617 Purdue Mall, West Lafayette, IN, 47907, USA. lbosman@purdue.edu.

Environmental Science and Pollution Research International
|March 24, 2018
PubMed
Summary
This summary is machine-generated.

Accurately predicting solar energy generation in snowy regions is crucial. A new simplified method significantly reduces snow-related forecasting errors for photovoltaic systems, improving investment return calculations.

Keywords:
DebrisDerateLossPhotovoltaicSnowSolar

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Area of Science:

  • Renewable Energy Systems
  • Photovoltaic Performance Modeling
  • Climate Impact on Solar Energy

Background:

  • Modern solar energy technologies offer cost savings across global, national, and regional levels.
  • Accurate prediction of photovoltaic (PV) performance is essential, especially in regions with seasonal snow cover, impacting energy generation and financial valuation.
  • Current solar energy performance models may not sufficiently account for snow-related energy losses.

Purpose of the Study:

  • To introduce and validate a simplified approach for reducing snow-related forecasting errors in solar energy performance models.
  • To enhance the understanding of return on investment (ROI) for solar energy systems in snowy environments.
  • To provide a more accurate prediction tool for PV systems affected by snow.

Main Methods:

  • A novel, simplified method for forecasting snow-related energy losses was developed and compared against existing models.
  • The proposed method was validated using data from two real-world solar energy systems (3.0-kW micro inverter and 13.2-kW central inverter) near Green Bay, WI.
  • Data collection spanned from May 2014/October 2014 to January 2018 for the micro and central inverter systems, respectively.

Main Results:

  • The new method demonstrated lower mean absolute percent errors per kilowatt-hour compared to industry-standard applications (PVWatts and PVsyst).
  • Specific error reductions were 0.039% for the micro inverter system and 0.055% for the central inverter system.
  • The validated method offers improved accuracy in predicting PV performance in snowy conditions.

Conclusions:

  • The proposed simplified method effectively decreases snow-related forecasting errors for solar energy systems.
  • Statistical analysis supports the integration of this method into widely used, online prediction tools like PVWatts and PVsyst.
  • This advancement will aid model designers and users in better assessing the financial viability of solar installations in snowy climates.