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Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. [PDF]
Saltos JM +4 more
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Forecasting the number of sunspots for solar cycle 25 utilizing the facebook prophet model. [PDF]
Rahman HIA, Badawy WA.
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Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]
Ahmadianfar I +10 more
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Exploring predictive models to improve the accuracy of Housing Price Index forecasts in India's real estate sector. [PDF]
Singh N, Shanmugam K.
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Combination Forecasting of Fuzzy Forecast
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009In this paper, we first give three kinds of model of fuzzy forecasting: fuzzy linear regression forecasting?Quadratic polynomial fuzzy regression forecasting and fuzzy time series self-regression forecasting, then we introduce the Combination forecasting of fuzzy forecast?and give two kind of combination forecasting of fuzzy forecast, one is the linear
Ai-bing Ji, Yan-hua Qiao, Hong-jie Qiu
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Macroeconomic forecasts and microeconomic forecasters [PDF]
In the presence of principal-agent problems, published macroeconomic forecasts by professional economists may not measure expectations. Forecasters may use their forecasts in order to manipulate beliefs about their ability. I test a cross-sectional implication of models of reputation and information-revelation.
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Forecast of Forecast: An Analytic Approach to Stressed Impairment Forecasting
SSRN Electronic Journal, 2017The new impairment reporting standards require banks to move from incurred loss models to sophisticated macroeconomic based expected credit loss models for current impairment estimation. While the impairment estimation is mainly focused on business as usual macroeconomic projections, there is a demand and expectation from regulators that the new ...
Jimmy Skoglund, Wei Chen
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