A Data Pretreatment Method about Power System Load Modeling

2012 ◽  
Vol 263-266 ◽  
pp. 125-130
Author(s):  
Yan Ping Wang
Keyword(s):  
Power System ◽  
High Speed ◽  
Load Forecasting ◽  
Multiple Time ◽  
Load Modeling ◽  
Time Period ◽  
Data Pretreatment ◽  
Load Increase ◽  
The Impact

Short-term load forecasting is one of the most important routine works for power dispatch departments. The accuracy of load forecasting will exert direct effects on the safety, economy and stabilization of the power system running. Portrait and transverse comparability are employed to distinguish and correct bad load data, while wavelet analysis and multiple-time-period analysis used to eliminate long-term increasing weights, thus reducing the impact of the high-speed load increase on the accuracy of load forecasting.

scholarly journals The Impact of Exchange Rate on Bangladesh’s Export: A Cointegration Approach

2020 ◽  
pp. 22-30
Author(s):  
Takrima Sayeda
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange Market ◽  
Export Performance ◽  
Long Run ◽  
Time Period ◽  
Floating Exchange Rate ◽  
Short Run ◽  
Year 2000 ◽  
The Impact

The purpose of the paper is to see if there is any relationship exist between free floating exchange rate and export performance of Bangladesh. It inspects the monthly data of exchange rate and export value for the time period between year 2000 and 2017. It utilized the Johansen [1] cointegration approach to identify the extent of long run and short run relationship between them. The study could not establish neither any long term trend nor any short term dynamics between the variables. Respective variables are significantly related to their own immediate past values. Distant past values do not have any implications. This study suggests that short run macroeconomic policy would be beneficial to influence the foreign exchange market and eventually the performance of export of Bangladesh.

scholarly journals Yet another lockdown? A large-scale study on people's unwillingness to be confined during the first 5 months of the COVID-19 pandemic in Spain

2021 ◽  
Author(s):  
Marina Martinez-Garcia ◽  
Alejandro Rabasa ◽  
Xavier Barber ◽  
Kristina Polotskaya ◽  
Kristof Roomp ◽  
...  
Keyword(s):  
Large Scale ◽  
Psychological Impact ◽  
Important Variable ◽  
Decision Makers ◽  
Policy Makers ◽  
Time Period ◽  
Economic Support ◽  
Gender And Age ◽  
The Impact

Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Thus, different policy makers and social groups have exhibited varying levels of acceptance of this type of measures. In this context, understanding the factors that determine the willingness of individuals to be confined during a pandemic is of paramount importance, particularly, to policy and decision-makers. In this paper, we study the factors that influence the unwillingness to be confined during the COVID-19 pandemic by means of a large-scale, online population survey deployed in Spain. We apply both quantitative (logistic regression) and qualitative (automatic pattern discovery) methods and consider socio-demographic, economic and psychological factors, together with the 14-day cumulative incidence per 100,000 inhabitants. Our analysis of 109,515 answers to the survey covers data spanning over a 5-month time period to shed light on the impact of the passage of time. We find evidence of pandemic fatigue as the percentage of those who report an unwillingness to be in confinement increases over time; we identify significant gender differences, with women being generally less likely than men to be able to sustain long-term confinement of at least 6 months; we uncover that the psychological impact was the most important factor to determine the willingness to be in confinement at the beginning of the pandemic, to be replaced by the economic impact as the most important variable towards the end of our period of study. Our results highlight the need to design gender and age specific public policies, to implement psychological and economic support programs and to address the evident pandemic fatigue as the success of potential future confinements will depend on the population's willingness to comply with them.

scholarly journals Towards Financial Valuation in Data-Driven Companies

2016 ◽  
Vol 12 (2) ◽  
pp. 28-33
Author(s):  
M. Eugenia Pérez-Pons ◽  
Alfonso González-Briones ◽  
Juan M. Corchado
Keyword(s):  
Economic Value ◽  
Indirect Costs ◽  
Added Value ◽  
Data Driven ◽  
Financial Valuation ◽  
External Data ◽  
Time Period ◽  
The Impact ◽  
A Company

The following work presents a methodology of determining the economic value of the data owned by a company in a given time period. The ability to determine the value of data at any point of its lifecycle, would make it possible to study the added value that data gives to a company in the long term. Not only external data should be considered but also the impact that the internal data can have on company revenues. The project focuses on data-driven companies, which are different to the data-oriented ones, as explained below. Since some studies affirm that data-driven companies are more profitable, the indirect costs of using those data must be allocated somewhere to understand their financial value14 and to present a possible alternative for measuring the financial impact of data on the revenue of companies.

Track damage comparison between conventional and articulated trains operating on a Great Britain railways ‘classic’ mainline route and a high-speed route

2018 ◽  
Vol 233 (7) ◽  
pp. 743-761 ◽  
Author(s):  
Andy Rhodes ◽  
Geoff Hunt ◽  
Neil Harwood ◽  
Naim Kuka ◽  
Laurent Baron ◽  
...  
Keyword(s):  
Great Britain ◽  
High Speed ◽  
Significant Proportion ◽  
Cost Savings ◽  
Potential Cost ◽  
Strategic Model ◽  
Design Characteristics ◽  
Architecture And Design ◽  
The Impact

The impact of train architecture and design characteristics on track deterioration accounts for a significant proportion of the whole-life costs of operating a railway. Introducing new train fleets with an expected life in excess of 30 years means that it is important to optimise train design to minimise track deterioration, maximise track life and realise long-term cost savings. Furthermore, higher traffic tonnage (from more frequent services) and increased train acceleration and speeds will cause increasing track deterioration rates; therefore, this issue is central to managing a sustainable railway in future. The track ‘friendliness’ of a train is determined by several ‘vehicle/track interaction’ parameters: train mass, axle load, number of axles, bogie unsprung mass, traction power, suspension ride forces and speed. The Vehicle/Track Interaction Strategic Model (VTISM) can be used to analyse the effect of these parameters on track forces and the resultant track deterioration and maintenance and renewal costs. This paper describes a study undertaken using the VTISM to investigate the impact of axle loads and train architecture on vertical deterioration and costs of ballasted track on a Great Britain railways ‘classic’ mainline route (up to 125 mph) and, following VTISM upgrading and validation, a high-speed route (up to 360 km/h). It identifies where potential cost advantages may be obtained when comparing conventional trains with new, alternative train architectures.

scholarly journals The benefit of a tough skin: bullet holes, weathering and the preservation of heritage

2017 ◽  
Vol 4 (2) ◽  
pp. 160335 ◽  
Author(s):  
Lisa Mol ◽  
M. Gomez-Heras ◽  
C. Brassey ◽  
O. Green ◽  
T. Blenkinsop
Keyword(s):  
High Speed ◽  
Surface Hardness ◽  
Initial Study ◽  
Building Stone ◽  
Rock Surface ◽  
Long Term Effects ◽  
Moisture Movement ◽  
Long Term Impact ◽  
The Impact

Projectile damage to building stone is a widespread phenomenon. Sites damaged 100 years ago during the First World War still see daily use, while in a more contemporary setting numerous reports show the damage to buildings in Babylon, Mosul and Palmyra. While research has been carried out on the long-term effects of conflict such as fire damage, little is known about the protracted damage sustained through the impact of bullets, shrapnel and other metal projectiles outside of the field of engineering focused on ceramics and metals. To investigate alterations to mineral structure caused by projectile damage, impacts were created in medium-grained, well-compacted, mesoporous sandstone samples using 0.22 calibre lead bullets shot at a distance of 20 m. Half these samples were treated with a surface consolidant (Wacker OH 100), to mimic natural cementation of the rock surface. These samples were then tested for changes to surface hardness and moisture movement during temperature cycles of 15–65°C. Petrographic thin section analysis was carried out to investigate the micro-scale deformation associated with high-speed impact. The results surprisingly show that stress build-up behind pre-existing cementation of the surface, as found in heritage sites that have been exposed to moisture and temperature fluctuations for longer periods of time, can be alleviated with a bullet impact. However, fracture networks and alteration of the mineral matrices still form a weak point within the structure, even at a relatively low impact calibre. This initial study illustrates the need for geomorphologists, geologists, engineers and heritage specialists to work collectively to gain further insights into the long-term impact of higher calibre armed warfare on heritage deterioration.

scholarly journals The Price of Fame: The Impact of Stimulus Familiarity on Proactive Interference Resolution

2011 ◽  
Vol 23 (4) ◽  
pp. 816-831 ◽  
Author(s):  
Ranjani Prabhakaran ◽  
Sharon L. Thompson-Schill
Keyword(s):  
Proactive Interference ◽  
Memory Retrieval ◽  
Recognition Task ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Short Term ◽  
Stimulus Familiarity ◽  
Resolution Processes ◽  
The Impact

Interference from previously learned information, known as proactive interference (PI), limits our memory retrieval abilities. Previous studies of PI resolution have focused on the role of short-term familiarity, or recency, in causing PI. In the present study, we investigated the impact of long-term stimulus familiarity on PI resolution processes. In two behavioral experiments and one event-related fMRI experiment, long-term familiarity was manipulated through the use of famous and nonfamous stimuli, and short-term familiarity was manipulated through the use of recent and nonrecent probe items in an item recognition task. The right middle frontal gyrus demonstrated greater sensitivity to famous stimuli, suggesting that long-term stimulus familiarity plays a role in influencing PI resolution processes. Further examination of the effect of long-term stimulus familiarity on PI resolution revealed a larger behavioral interference effect for famous stimuli, but only under speeded response conditions. Thus, models of memory retrieval—and of the cognitive control mechanisms that guide retrieval processes—should consider the impact of and interactions among sources of familiarity on multiple time scales.

Long-term chronological load modeling in power system studies with energy storage systems

2015 ◽  
Vol 156 ◽  
pp. 436-448 ◽  
Author(s):  
Abbas Marini ◽  
Mohammad Amin Latify ◽  
Mohammad Sadegh Ghazizadeh ◽  
Ahmad Salemnia
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Load Modeling
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