Abstract: This paper proposed a novel model for short term load
forecast (STLF) in the electricity market. The prior electricity
demand data are treated as time series. The model is composed of
several neural networks whose data are processed using a wavelet
technique. The model is created in the form of a simulation program
written with MATLAB. The load data are treated as time series data.
They are decomposed into several wavelet coefficient series using
the wavelet transform technique known as Non-decimated Wavelet
Transform (NWT). The reason for using this technique is the belief
in the possibility of extracting hidden patterns from the time series
data. The wavelet coefficient series are used to train the neural
networks (NNs) and used as the inputs to the NNs for electricity load
prediction. The Scale Conjugate Gradient (SCG) algorithm is used as
the learning algorithm for the NNs. To get the final forecast data, the
outputs from the NNs are recombined using the same wavelet
technique. The model was evaluated with the electricity load data of
Electronic Engineering Department in Mandalay Technological
University in Myanmar. The simulation results showed that the
model was capable of producing a reasonable forecasting accuracy in
STLF.
Abstract: This study aims to propose three evaluation methods to
evaluate the Tokyo Cap and Trade Program when emissions trading is
performed virtually among enterprises, focusing on carbon dioxide
(CO2), which is the only emitted greenhouse gas that tends to increase.
The first method clarifies the optimum reduction rate for the highest
cost benefit, the second discusses emissions trading among enterprises
through market trading, and the third verifies long-term emissions
trading during the term of the plan (2010-2019), checking the validity
of emissions trading partly using Geographic Information Systems
(GIS). The findings of this study can be summarized in the following
three points.
1. Since the total cost benefit is the greatest at a 44% reduction rate, it
is possible to set it more highly than that of the Tokyo Cap and
Trade Program to get more total cost benefit.
2. At a 44% reduction rate, among 320 enterprises, 8 purchasing
enterprises and 245 sales enterprises gain profits from emissions
trading, and 67 enterprises perform voluntary reduction without
conducting emissions trading. Therefore, to further promote
emissions trading, it is necessary to increase the sales volumes of
emissions trading in addition to sales enterprises by increasing the
number of purchasing enterprises.
3. Compared to short-term emissions trading, there are few enterprises
which benefit in each year through the long-term emissions trading
of the Tokyo Cap and Trade Program. Only 81 enterprises at the
most can gain profits from emissions trading in FY 2019. Therefore,
by setting the reduction rate more highly, it is necessary to increase
the number of enterprises that participate in emissions trading and
benefit from the restraint of CO2 emissions.
Abstract: Since the world printing industry has to confront
globalization with a constant change, the Thai printing industry, as a
small but increasingly significant part of the world printing industry,
cannot inevitably escape but has to encounter with the similar change
and also the need to revamp its production processes, designs and
technology to make them more appealing to both international and
domestic market. The essential question is what is the Thai
competitive edge in the printing industry in changing environment?
This research is aimed to study the Thai level of competitive edge in
terms of marketing, technology, environment friendly, and the level
of satisfaction of the process of using printing machines. To access
the extent to which is the trends in competitiveness of Thai printing
industry, both quantitative and qualitative study were conducted. The
quantitative analysis was restricted to 100 respondents. The
qualitative analysis was restricted to a focus group of 10 individuals
from various backgrounds in the Thai printing industry. The findings
from the quantitative analysis revealed that the overall mean scores
are 4.53, 4.10, and 3.50 for the competitiveness of marketing, the
competitiveness of technology, and the competitiveness of being
environment friendly respectively. However, the level of satisfaction
for the process of using machines has a mean score only 3.20. The
findings from the qualitative analysis have revealed that target
customers have increasingly reordered due to their contentment in
both low prices and the acceptable quality of the products. Moreover,
the Thai printing industry has a tendency to convert to ambient green
technology which is friendly to the environment. The Thai printing
industry is choosing to produce or substitute with products that are
less damaging to the environment. It is also found that the Thai
printing industry has been transformed into a very competitive
industry which bargaining power rests on consumers who have a
variety of choices.
Abstract: Many agent-oriented software engineering
methodologies have been proposed for software developing; however
their application is still limited due to their lack of maturity.
Evaluating the strengths and weaknesses of these methodologies
plays an important role in improving them and in developing new
stronger methodologies. This paper presents an evaluation framework
for agent-oriented methodologies, which addresses six major areas:
concepts, notation, process, pragmatics, support for software
engineering and marketability. The framework is then used to
evaluate the Gaia methodology to identify its strengths and
weaknesses, and to prove the ability of the framework for promoting
the agent-oriented methodologies by detecting their weaknesses in
detail.
Abstract: Short term electricity demand forecasts are required
by power utilities for efficient operation of the power grid. In a
competitive market environment, suppliers and large consumers also
require short term forecasts in order to estimate their energy
requirements in advance. Electricity demand is influenced (among
other things) by the day of the week, the time of year and special
periods and/or days such as Ramadhan, all of which must be
identified prior to modelling. This identification, known as day-type
identification, must be included in the modelling stage either by
segmenting the data and modelling each day-type separately or by
including the day-type as an input. Day-type identification is the
main focus of this paper. A Kohonen map is employed to identify the
separate day-types in Algerian data.
Abstract: Modern organizations operate under the pressure of
dynamic and often unpredictable changes, both in external and
internal environment. Market success, in this context, requires a
particular competence in the form of flexibility, interpreted here both
on the level of individuals and on the level of organization. This
paper addresses the changes taking place in the sphere of
employment, as observed in economic entities operating on Polish
market. Based on own empirical studies, the authors focus on the
progressing trend of ‘flexibilization’ of employment, particularly in
the context of transformations in organizational structure, designed to
facilitate the transition into management by projects and
differentiation of labor forms.
Abstract: Time full of changes which is associated with globalization, tougher competition, changes in the structures of markets and economic downturn, that all force companies to think about their competitive advantages. These changes can bring the company a competitive advantage and that can help improve competitive position in the market. Policy of the European Union is focused on the fast growing innovative companies which quickly respond to market demands and consequently increase its competitiveness. To meet those objectives companies need the right conditions and support of their state.