Optimizing electric energy production on-board offshore vessels: Vessel power consumption profile and production strategies using genetic algorithms

2016 ◽  
Author(s):  
Ottar L. Osen
Keyword(s):  
Genetic Algorithms ◽  
Power Consumption ◽  
Energy Production ◽  
Electric Energy ◽  
Production Strategies ◽  
Consumption Profile

Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot

Energy ◽  
2018 ◽  
Vol 148 ◽  
pp. 148-158 ◽  
Author(s):  
Christos S. Ioakimidis ◽  
Dimitrios Thomas ◽  
Pawel Rycerski ◽  
Konstantinos N. Genikomsakis
Keyword(s):  
Power Consumption ◽  
Electric Vehicle ◽  
Residential Buildings ◽  
Peak Shaving ◽  
Parking Lot ◽  
Consumption Profile

scholarly journals Analysis of possibilities to improve quality of spatial wind speed forecasts for efficient forecasting of electric energy production in onshore wind farms in Poland

2019 ◽  
Vol 84 ◽  
pp. 01001
Author(s):  
Paweł Piotrowski ◽  
Dariusz Baczyński ◽  
Marcin Kopyt ◽  
Karolina Szafranek
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Energy Production ◽  
Meteorological Data ◽  
Electric Energy ◽  
Wind Farms ◽  
Bilinear Method ◽  
Explanatory Variables ◽  
Forecasting Methods

The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "Łódź" area was made. The intention of the statistical analysis was to select potential explanatory variables for models predicting wind speed in the remaining 206 nodes of the grid’s mesh. Next, tests of selected prognostic methods were performed in order to compare their effectiveness with bilinear method which is not computationally complex. It should be emphasized that the main problem in spatial wind speed forecasting is the very large number of nodes for which the forecasts are calculated. As a consequence, more advanced and computationally complex forecasting methods cannot be applied in practice due to too long calculations time and difficulties in huge amounts of data processing. Conclusions with proposals of preferred forecasting methods that could be used in practice were developed.

A Method for Noninvasive Remote Monitoring of Energy Meter Error Using Power Consumption Profile

2020 ◽  
Vol 69 (9) ◽  
pp. 6677-6685 ◽  
Author(s):  
Zilvinas Nakutis ◽  
Stefano Rinaldi ◽  
Pranas Kuzas ◽  
Robertas Lukocius
Keyword(s):  
Power Consumption ◽  
Remote Monitoring ◽  
Energy Meter ◽  
Consumption Profile
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