Citation Impact
Citing Papers
Short Term Load Forecasting Using A Hybrid Model Based On Support Vector Regression
2015
Future cost and performance of water electrolysis: An expert elicitation study
2017 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
2017 Standout
Analysis of international tourist arrivals in China: The role of World Heritage Sites
2009 Standout
The role of artificial intelligence in achieving the Sustainable Development Goals
2020 Standout
Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
2021 Standout
Short-Term Load Forecasting With Exponentially Weighted Methods
2011
Using adaptive network based fuzzy inference system to forecast regional electricity loads
2007
Real-time forecasting of solar irradiance ramps with smart image processing
2015
Application of chaotic ant swarm optimization in electric load forecasting
2010
Product services for a resource-efficient and circular economy – a review
2013 Standout
Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
2020 Standout
Short-term load forecasting based on support vector regression and load profiling
2013
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Evaluation of hybrid forecasting approaches for wind speed and power generation time series
2012
Surveying stock market forecasting techniques – Part II: Soft computing methods
2008
Analysis of Electricity Pricing in Emerging Economies With Hybrid Multi-Criteria Decision-Making Technique Based on Interval-Valued Intuitionistic Hesitant Fuzzy Sets
2020
A review of energy systems models in the UK: Prevalent usage and categorisation
2016 Standout
Long term electric load forecasting based on particle swarm optimization
2009
The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China
2015
A review on applications of ANN and SVM for building electrical energy consumption forecasting
2014 Standout
Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors
2008
An optimized grey model for annual power load forecasting
2016
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
2010
Electric load forecasting by support vector model
2008
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
2008
Short-term load forecasting using a kernel-based support vector regression combination model
2014
A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
2014 Standout
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
2019 Standout
Collaborative decision making algorithm for selection of optimal wire saw in photovoltaic wafer manufacture
2010
Progress and prospects for event tourism research
2015 Standout
A review of data-driven building energy consumption prediction studies
2017 Standout
An application of AHP and sensitivity analysis for selecting the best slicing machine
2007
Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
2008
VIKOR method for material selection problems with interval numbers and target-based criteria
2013
Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
2008
A review of production planning and control: the applicability of key concepts to the make-to-order industry
2005
A novel text mining approach to financial time series forecasting
2011
Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting
2013
Particle swarm optimization for parameter determination and feature selection of support vector machines
2007 Standout
Tourism demand modelling and forecasting—A review of recent research
2007 Standout
Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods
2017
Big data analytics as an operational excellence approach to enhance sustainable supply chain performance
2019 Standout
Stock index forecasting based on a hybrid model
2011
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
2011
Development of expert decision model to monitor precision of solar silicon wafer machine line
2010
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
A review on the prediction of building energy consumption
2012 Standout
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
2013 Standout
A probabilistic approach to fraud detection in telecommunications
2011
Feature vector regression with efficient hyperparameters tuning and geometric interpretation
2016
Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting
2012
An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting
2011
Digital Reticular Chemistry
2020 StandoutNobel
Application of a hybrid quantized Elman neural network in short-term load forecasting
2013
Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
2008
Evaluating Recognitive Balanced Scorecard-Based Quality Improvement Strategies of Energy Investments With the Integrated Hesitant 2-Tuple Interval-Valued Pythagorean Fuzzy Decision-Making Approach to QFD
2020
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
Towards a smart energy network: The roles of fuel/electrolysis cells and technological perspectives
2015
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
A new cascade NN based method to short-term load forecast in deregulated electricity market
2013
Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
2012
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
2016
Energy hub: From a model to a concept – A review
2017 Standout
Battery Lifetime Prognostics
2020 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
BP neural network with rough set for short term load forecasting
2007
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Educational data mining: A survey and a data mining-based analysis of recent works
2013 Standout
Energy-saving decomposition and power consumption forecast: The case of liaoning province in China
2010
On Evaluation Model of Circular Economy for Iron and Steel Enterprise Based on Support Vector Machines with Heuristic Algorithm for Tuning Hyper-parameters
2013
A review on time series forecasting techniques for building energy consumption
2017 Standout
Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014
2015 Standout
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Hybrid expert systems: A survey of current approaches and applications
2011
Hybrid evolutionary algorithms in a SVR-based electric load forecasting model
2009
Predicting Corporate Financial Sustainability Using Novel Business Analytics
2018
Power load forecasting using support vector machine and ant colony optimization
2009
Fine tuning support vector machines for short-term wind speed forecasting
2011
Hybrid intra-hour DNI forecasts with sky image processing enhanced by stochastic learning
2013
Triple seasonal methods for short-term electricity demand forecasting
2009
Forecasting China's electricity consumption using a new grey prediction model
2018 Standout
Optimization methods applied to renewable and sustainable energy: A review
2011 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection
2015
Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model
2013
Support vector regression with genetic algorithms in forecasting tourism demand
2006
Generalized Locally Weighted GMDH for Short Term Load Forecasting
2011
A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting
2014
Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects
2022 Standout
Combined modeling for electric load forecasting with adaptive particle swarm optimization
2010
Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm
2014
A state-of the-art survey of TOPSIS applications
2012 Standout
Consensus-Based Public Acceptance and Mapping of Nuclear Energy Investments Using Spherical and Pythagorean Fuzzy Group Decision Making Approaches
2020
Grey system theory-based models in time series prediction
2009 Standout
A review on the attention mechanism of deep learning
2021 Standout
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
2015
Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information
2016
Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine
2014
Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
2015 Standout
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
2011
Financial time series forecasting using independent component analysis and support vector regression
2009
Energy models for demand forecasting—A review
2011 Standout
Towards circular economy implementation: a comprehensive review in context of manufacturing industry
2015 Standout
Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
2017
A global review of energy consumption, CO 2 emissions and policy in the residential sector (with an overview of the top ten CO 2 emitting countries)
2014 Standout
A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined With Analytical Selection
2016
Greek long-term energy consumption prediction using artificial neural networks
2009 Standout
Stock Market Prediction Based on Generative Adversarial Network
2019
Review of energy system flexibility measures to enable high levels of variable renewable electricity
2015 Standout
Medium term system load forecasting with a dynamic artificial neural network model
2005
Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP
2007
Forecasting electricity consumption in Pakistan: the way forward
2015
Works of Ping‐Feng Pai being referenced
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms
2005
Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry
2012
Using support vector machines to forecast the production values of the machinery industry in Taiwan
2005
Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads
2006
Support vector machines with simulated annealing algorithms in electricity load forecasting
2005
A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms
2009
Heuristic PAC model for hybrid MTO and MTS production environment
2003
Sustainable supply chain management using approximate fuzzy DEMATEL method
2017
Potential assessment of the support vector regression technique in rainfall forecasting
2006
A support vector machine-based model for detecting top management fraud
2010
An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection
2010
A daily production model for wafer fabrication
2004
Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
2005
Predicting engine reliability by support vector machines
2005
A hybrid ARIMA and support vector machines model in stock price forecasting
2004
Analyzing academic achievement of junior high school students by an improved rough set model
2009
Highway traffic forecasting by support vector regression model with tabu search algorithms
2006
A recurrent support vector regression model in rainfall forecasting
2006
A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome
2010
An Improved Neural Network Model in Forecasting Arrivals
2005
System reliability forecasting by support vector machines with genetic algorithms
2006