Search results for "Forecast"

Qualitative analysis of housing demand using Google trends data

2019

Big data analytics often refer to the breakdown of huge amounts of data into a more readable and useful format. This study utilises Google Trends big data as a proxy for an analysis of housing demand. We employ a qualitative method (fuzzy set/Qualitative Comparative Analysis, fsQCA), instead of a quantitative method, for our estimate and forecast. The empirical results show that fsQCA successfully forecasts seasonal time series, even though the dataset is small in size. Our findings fill the gap in the qualitative and time series forecasting literature, and the forecasting procedure herein also offers a good standard for industry.

Engine/Transmission Matching

2014

This chapter deals with the forecasting of vehicle performance on the road, according to the installed engine. It begins with Section 1, which shows the calculation of the resistance to motion, that is, the forces that the vehicle must overcome to advance on flat roads and uphill. The calculation excludes accidental resistance in curves because it is not essential for predicting the behavior of the vehicle on the road. Section 2 begins with the power characteristic, the forecast by traction–speed and power–speed diagrams, calculation of gear ratios, and then passing to the limits to the estimated acceleration, feature consumption, and distance. This chapter concludes with a section on the d…

Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

Nonlinear black-box models for short-term forecasting of air temperature in the town of Palermo

2011

Weather data are crucial to correctly design buildings and their heating and cooling systems and to assess their energy performances. In the intensely urbanized towns the effect of climatic parameters is further emphasized by the Urban Heat Island (UHI) phenomenon, known as the increase in the air temperature of urban areas, compared to the one measured in the extra-urban areas. The analysis of the heat island needs detailed local climate data which can be collected only by a dedicated weather monitoring system. The Department of Energy and Environmental Researches of the University of Palermo (Italy) has built up a weather monitoring system that works 24 hours per day and makes data availa…

Author Correction: Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model o…

2018

Invertebrate biomass is considered one of the main factors driving processes in ecosystems. It can be measured directly, primarily by weighing individuals, but more often indirect estimators are used. We developed two indirect and non-destructive approaches to estimate biomass of small invertebrates in a simple manner. The first one was based on clay modelling and the second one was based on image analysis implemented with open-source software. Furthermore, we tested the accuracy of the widely used geometric approximation method (third method). We applied these three different methods to three morphologically disparate model species, an acanthocephalan worm, a crustacean and a flatworm. To …

Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography

2021

Warm conveyor belts (WCBs) are important airstreams in extratropical cyclones, often leading to the formation of intense precipitation and the amplification of upper-level ridges. This study presents a case study that involves aircraft, lidar and radar observations in a WCB ascending from western Europe towards the Baltic Sea during the Hydrological Cycle in the Mediterranean Experiment (HyMeX) and T-NAWDEX-Falcon in October 2012, a preparatory campaign for the THORPEX North Atlantic Waveguide and Downstream Impact Experiment (TNAWDEX). Trajectories were used to link different observations along the WCB, that is, to establish so-called Lagrangian matches between observations. To this aim, a…

Faktoru modeļu priekšrocības ekonomiskās aktivitātes īstermiņa prognozēšanā

2014

Promocijas darba anotācija Pēdējā desmitgadē Latvijas tautsaimniecības attīstība bijusi īpaši svārstīga, kas sarežģīja ekonomiskās politikas lēmumu pieņemšanu ekonomiskās situācijas stabilizēšanai. Lai atvieglotu lēmumu pieņemšanu, ekonomisko aktivitāti īstermiņā var prognozēt ar ekonometriskiem modeļiem. Promocijas darba mērķis ir novērtēt faktoru modeļu priekšrocības ekonomiskās aktivitātes prognozēšanas kontekstā un noteikt Latvijas gadījumā nepieciešamo instrumentu un metožu klāstu īstermiņa prognozēšanai. Promocijas darbā tiek sniegtas atbildes uz faktoru modeļu lietošanas problēmjautājumiem īstermiņa prognozēšanā, kā arī novērtēti daži faktoru modeļu lietošanas aspekti. Faktoru modeļu…