An architectural framework for the construction of hybrid intelligent forecasting systems: application for electricity demand prediction

Lertpalangsunti, N.; Chan, Christine W.

doi:10.1016/s0952-1976(98)00013-x

Cited by 25 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Company policies and work culture can be expected to change after the COVID-19 outbreak [149,150]. The construction sector will also expand its use of automatic machines.…”

Section: Buildings Requiring New Shapes Focusing On Technology and Smart And Green Infrastructure Initiativesmentioning

confidence: 99%

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

et al. 2021

View full text Add to dashboard Cite

Aspects of sustainable construction investment and real estate development (CIRED) and their interrelations during the period pre-, intra-, and post-COVID-19, are presented in the research. Applications of the topic model, environmental psychology theory, building life cycle method, and certain elements of bibliometrics, webometrics, article level metrics, altmetrics, and scientometrics make it possible to perform a quantitative analysis on CIRED. The CIRED topic model was developed in seven steps. This paper aims to present a literature review on CIRED throughout the pandemic and to look at the responses from the real estate and construction sector. This sector is a field that appears to be rapidly expanding, judging from the volume of current research papers. This review focuses on last year’s leading peer-reviewed journals. A combination of various keywords was applied for the review and the criteria for paper selections included construction investment, real estate development, civil engineering, COVID-19, and sustainability, as well as residential, industrial, commercial, land, and special purpose real estate, along with their risks, strategies, and trends. The articles reviewed for this paper, which analyzes three hypotheses, look at pre-, intra-, and post-pandemic CIRED. The three hypotheses were validated by analyzing scientific publications from around the world. Two innovative elements make this study stand out among the most advanced research on pre-, intra-, and post-pandemic CIRED. The first of the two innovations is the integrated analysis of the COVID-19 pandemic, COVID-19-related national policies, and business investment strategies relevant to CIRED and the interests of investors as well as on the impact a CIRED policy and investors make on the spread of COVID-19. In addition, this research demonstrates a marked increase in the effectiveness of a CIRED analysis, when the life cycle of a CIRED, the involved stakeholders with their own individual interests, the COVID-19 situation, and the external micro-, meso-, and macro-environments are covered comprehensively as a single entity.

show abstract

“…Company policies and work culture can be expected to change after the COVID-19 outbreak [149,150]. The construction sector will also expand its use of automatic machines.…”

Section: Buildings Requiring New Shapes Focusing On Technology and Smart And Green Infrastructure Initiativesmentioning

confidence: 99%

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Such approaches have been implemented successfully by (Srinivasan et al, 1999) and (Mastorocostas et al, 1999), to mention but a few. Where a single model is used for all the data, the day-type information is often incorporated as an additional input (two examples are (Chen et al, 1992) and (Lertpalangsunti and Chan, 1998). In either case the day-types must, however, be identified.…”

Section: Day Type Identification Using Kohonen Mapsmentioning

confidence: 99%

Kohonen Maps Combined to Fuzzy C-means, a Two Level Clustering Approach. Application to Electricity Load Data

Tarek¹,

Farouk²

2011

Self Organizing Maps - Applications and Novel Algorithm Design

View full text Add to dashboard Cite

“…Guo et al [ 22 ] and Taha [ 23 ] propose that feature selection techniques be used to combine different machine learning methods into a new effective learning system that assembles the best-performing and strongest features of each approach, while leaving out the defects and weak points; they argue that such a synthesis can provide a better representation of machine-trading systems with the ability to process and learn within both non-symbolic and symbolic paradigm. Lertpalangsunti and Chan [ 24 ] offer three general reasons for introducing hybrid models, these being technique improvement, diversity of application duties, and recognition of multi-functionality. Hence, ANNs can be used with other machine-learning models in parallel, transformational, or sequential methods, to overcome their limitations and deficiencies.…”

Section: Introductionmentioning

confidence: 99%

Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models

M’ng

Mehralizadeh

2016

PLoS ONE

View full text Add to dashboard Cite

The motivation behind this research is to innovatively combine new methods like wavelet, principal component analysis (PCA), and artificial neural network (ANN) approaches to analyze trade in today’s increasingly difficult and volatile financial futures markets. The main focus of this study is to facilitate forecasting by using an enhanced denoising process on market data, taken as a multivariate signal, in order to deduct the same noise from the open-high-low-close signal of a market. This research offers evidence on the predictive ability and the profitability of abnormal returns of a new hybrid forecasting model using Wavelet-PCA denoising and ANN (named WPCA-NN) on futures contracts of Hong Kong’s Hang Seng futures, Japan’s NIKKEI 225 futures, Singapore’s MSCI futures, South Korea’s KOSPI 200 futures, and Taiwan’s TAIEX futures from 2005 to 2014. Using a host of technical analysis indicators consisting of RSI, MACD, MACD Signal, Stochastic Fast %K, Stochastic Slow %K, Stochastic %D, and Ultimate Oscillator, empirical results show that the annual mean returns of WPCA-NN are more than the threshold buy-and-hold for the validation, test, and evaluation periods; this is inconsistent with the traditional random walk hypothesis, which insists that mechanical rules cannot outperform the threshold buy-and-hold. The findings, however, are consistent with literature that advocates technical analysis.

show abstract

An architectural framework for the construction of hybrid intelligent forecasting systems: application for electricity demand prediction

Cited by 25 publications

References 6 publications

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

Kohonen Maps Combined to Fuzzy C-means, a Two Level Clustering Approach. Application to Electricity Load Data

Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models

Contact Info

Product

Resources

About