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Review on Probabilistic Forecasting of Photovoltaic Power Production and Electricity Consumption by D.W. van der Meer; J. Widén; J. Munkhammar is a Engineering article available to read on EtoBox.
What is Review on Probabilistic Forecasting of Photovoltaic Power Production and Electricity Consumption about?
tAccurate forecasting simultaneously becomes more important and more challenging due to the increasing penetration of photovoltaic (PV) systems in the built environment on the one hand, and the increasing stochastic nature of electricity consumption, e.g., through electric vehicles (EVs), on the other hand. Until recently, research has mainly focused on deterministic forecasting. However, such forecasts convey little information about the possible future state of a system and since a forecast is inherently erroneous, it is important to quantify this error. This paper therefore focuses on the recent advances in the area of probabilistic forecasting of solar power (PSPF) and load forecasting (PLF). The goal of a probabilistic forecast is to provide either a complete predictive density of the future state or to predict that the future state of a system will fall in an interval, defined by a confidence level. The aim of this paper is to analyze the state of the art and assess the different approaches in terms of their performance, but also to what extent these approaches can be generalized so that they not only perform best on the data set for which they were designed, but also on othe
Who reads Review on Probabilistic Forecasting of Photovoltaic Power Production and Electricity Consumption?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- D.W. van der Meer; J. Widén; J. Munkhammar
- Publisher
- Elsevier BV
- Published
- 2018
- Language
- EN
- Field
- Engineering (Physical Sciences)
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