Oil Price Forecasting Using Gene Expression Programming And Artificial Neural Networks
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| Author | : Wei-Chiang Hong |
| Publisher | : MDPI |
| Total Pages | : 262 |
| Release | : 2020-04-01 |
| Genre | : Computers |
| ISBN | : 3039283642 |
Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.
| Author | : Mayank Singh |
| Publisher | : Springer |
| Total Pages | : 771 |
| Release | : 2019-07-18 |
| Genre | : Computers |
| ISBN | : 9811399425 |
This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019. The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
| Author | : Giuseppe Nicosia |
| Publisher | : Springer Nature |
| Total Pages | : 701 |
| Release | : 2021-01-06 |
| Genre | : Computers |
| ISBN | : 3030645800 |
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
| Author | : Shahriar Akter |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 335 |
| Release | : 2023-06-01 |
| Genre | : Business & Economics |
| ISBN | : 1800888554 |
This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.
| Author | : Yunjie Wei |
| Publisher | : Routledge |
| Total Pages | : 160 |
| Release | : 2021-05-10 |
| Genre | : Business & Economics |
| ISBN | : 1000366677 |
With the internationalization of Renminbi (RMB), the gradual liberalization of China's capital account and the recent reform of the RMB pricing mechanism, the RMB exchange rate has been volatile. This book examines how we can forecast exchange rate reliably. It explains how we can do so through a new methodology for exchange rate forecasting. The book also analyzes the dynamic relationship between exchange rate and the exchange rate data decomposition and integration, the domestic economic situation, the international economic situation and the public’s expectations and how these interactions would affect the exchange rate. The book also explains why this comprehensive integrated approach is the best model for optimizing accuracy in exchange rate forecasting.
| Author | : Rosario Macario |
| Publisher | : Elsevier |
| Total Pages | : 476 |
| Release | : 2021-11-16 |
| Genre | : Transportation |
| ISBN | : 032391523X |
The aviation sector consists of various actors such as airlines, ground handling companies, and others all with conflicting priorities. In order to understand how these actors position themselves in an increasingly competitive market, The Air Transportation Industry: Economic Conflict and Competition analyzes all the market segments in detail, examining such issues as which industrial economic structure drives decisions, the main economic problems, the consequences for negotiations between different actors, impacts on the global aviation market, and much more. This book covers the entire aviation sector including strategies, regulation, resilience, privatization, airport slot management, and more. It examines how economic and strategic struggles underlie the current market structure, both for aviation as a whole and for the constituent actors as carriers, authorities, and handlers. It examines the ways market and nonmarket approaches impact the competitiveness of the air transport industry, offering a complete mapping of the economic actions between actors of the air transport industry. This volume will help readers gain insight into the possible strategic choices and the mutual competitive strength within the future aviation market. - Contains contributions from well-known aviation scholars - Includes numerous cases studies throughout that explore a wide range of topics - Focuses on applied knowledge, with clearly structured chapters examining topics from a global perspective - Addresses the ongoing consequences of COVID-19 on the air transportation industry, examining potential strategic responses in the event of subsequent pandemics
| Author | : Natalia A. Serdyukova |
| Publisher | : Springer Nature |
| Total Pages | : 243 |
| Release | : 2020-08-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3030544702 |
This book is a continuation of our recently published book “Algebraic formalization of smart systems. Theory and practice.” It incorporates a new concept of quasi-fractal algebraic systems, based on A.I. Maltsev’s theory of algebraic systems and the theory of fractals developed by Benoit Mandelbrot, to investigate smart systems in more detail. The main tool used in the book, quasi-fractal algebraic systems, helps us to see smart systems in more detail by adding new factors, which e.g. make it possible to describe the previously indivisible elements of the initial model of factors. The techniques presented include fixed-point theorem, theorems of group theory, theory of Boolean algebras, and Erdös-Renyi algorithms. Given its focus, the book is intended for anyone interested in smart system theory.
| Author | : Hui Liu |
| Publisher | : Springer Nature |
| Total Pages | : 275 |
| Release | : 2022-02-08 |
| Genre | : Business & Economics |
| ISBN | : 9811689652 |
This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.
| Author | : Shu-Heng Chen |
| Publisher | : Physica |
| Total Pages | : 459 |
| Release | : 2013-11-11 |
| Genre | : Computers |
| ISBN | : 3790817848 |
After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1575 |
| Release | : 2021-07-16 |
| Genre | : Computers |
| ISBN | : 1668424096 |
Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.
