Forecasting Peak Daily Load in Distribution Feeders

Author(s):  
Matthew Haslett Leak ◽  
Ganesh Kumar Venayagamoorthy
Keyword(s):  
2020 ◽  
Vol 3 (2) ◽  
pp. 19-23
Author(s):  
Jahongir Yunusugli Ergashev

During the existence of the Bukhara khanate, the economic and trade relations with neighboring countries on the territory of Central Asia have been largely based on transport system of the old network of roads. Along with the formation and development of communication routes, transportation vehicles also improved based on the natural climate and geographical location of different regions.  In the following article the info is given on the means of the transport used in the caravan routes in the trade-economic relations of khanate of Bukhara with neighboring countries in medieval times. Included there, the starting of domestication and usage of horse drawn vehicles, camels, donkeys and others, the capacity of daily load of camels, horses, donkeys which were core of caravans, their daily distance, the necessary tasks in the incidents occurred in caravan routes (injuries, bruises, contagious diseases) the stopping regulation of caravans (sand storm, in heat and frost) is thoroughly analyzed.


2005 ◽  
Author(s):  
David Cotnoir ◽  
Chris Wallace ◽  
Davika Misir

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 345
Author(s):  
Janusz Sowinski

Forecasting of daily loads is crucial for the Distribution System Operators (DSO). Contemporary short-term load forecasting models (STLF) are very well recognized and described in numerous articles. One of such models is the Adaptive Neuro-Fuzzy Inference System (ANFIS), which requires a large set of historical data. A well-recognized issue both for the ANFIS and other daily load forecasting models is the selection of exogenous variables. This article attempts to verify the statement that an appropriate selection of exogenous variables of the ANFIS model affects the accuracy of the forecasts obtained ex post. This proposal seems to be a return to the roots of the Polish econometrics school and the use of the Hellwig method to select exogenous variables of the ANFIS model. In this context, it is also worth asking whether the use of the Hellwig method in conjunction with the ANFIS model makes it possible to investigate the significance of weather variables on the profile of the daily load in an energy company. The functioning of the ANFIS model was tested for some consumers exhibiting high load randomness located within the area under supervision of the examined power company. The load curves featuring seasonal variability and weekly similarity are suitable for forecasting with the ANFIS model. The Hellwig method has been used to select exogenous variables in the ANFIS model. The optimal set of variables has been determined on the basis of integral indicators of information capacity H. Including an additional variable, i.e., air temperature, has also been taken into consideration. Some results of ex post daily load forecast are presented.


2008 ◽  
Vol 57 (11) ◽  
pp. 1817-1823 ◽  
Author(s):  
J. B. Ellis ◽  
D. M. Revitt

The use of unit area loading approaches to address the requirements of the US Clean Water Act (CWA) and the EU Water Framework Directive (WFD) to identify and manage diffuse urban pollution sources is outlined. Issues relating to traditional volume-concentration probabilistic modelling are highlighted and the robustness of total maximum daily load (TMDL) approaches is discussed. A hazard assessment methodology for catchment scale identification of source area pollutant loadings and receiving water ecological impacts is developed based on urban land use activities.


2018 ◽  
Vol 33 (1) ◽  
pp. 911-920 ◽  
Author(s):  
Joao A. C. Machado ◽  
Pedro M. S. Carvalho ◽  
Luis A. F. M. Ferreira

Sign in / Sign up

Export Citation Format

Share Document