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Turning Datamining into a Management Science Tool: New Algorithms and Empirical Results

Lee G. Cooper, Giovanni Giuffrida
2000 Management science  
on a slightly different approach, namely divide-and-conquer.  ...  The simplest one is based on adjusting the forecast value according to the most likely class.  ... 
doi:10.1287/mnsc.46.2.249.11932 fatcat:fcghtp6vsnantfcwelgg4zupva

An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting

Jiang Wu, Yu Chen, Tengfei Zhou, Taiyong Li
2019 Energies  
Finally, the predicted values of the above two models for each component were adaptively selected based on the training precision, and then aggregated as the final forecasting results using SBL without  ...  mean squared error (RMSE), the mean absolute percent error (MAPE), and the directional statistic (Dstat).  ...  The proposed CEEMD-A&S-SBL employs the strategy of "divide and conquer".  ... 
doi:10.3390/en12071239 fatcat:7enkslzxejbrrnyfsomuobctbi

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Yi Wang, Qixin Chen, Tao Hong, Chongqing Kang
2018 IEEE Transactions on Smart Grid  
Following the three stages of analytics, namely, descriptive, predictive and prescriptive analytics, we identify the key application areas as load analysis, load forecasting, and load management.  ...  In addition, we also discuss some research trends, such as big data issues, novel machine learning technologies, new business models, the transition of energy systems, and data privacy and security.  ...  Demand Response Implementation Demand response can be roughly divided into price-based demand response and incentive-based demand response.  ... 
doi:10.1109/tsg.2018.2818167 fatcat:yacc5fol6vhydkw2azgy4mpfai

Forecasting Models of Electricity Prices

Javier Contreras
2017 Energies  
Author Contributions: Bijay Neupane designed and implemented the system, performed the experiments and wrote the initial draft of the paper.  ...  Author Contributions: All authors conceived of and designed the forecasting study. Bartosz Uniejewski performed the numerical experiments. Jakub Nowotarski and Rafał Weron supervised the experiments.  ...  It should be noted that load levels, unlike system states, are only defined based on system demand.  ... 
doi:10.3390/en10020160 fatcat:tfm7gy4vkfhqxj4pdts7vt5wka

2020 Index IEEE Transactions on Power Systems Vol. 35

2020 IEEE Transactions on Power Systems  
., and Preece, R., Assessing the Impact of VSC-HVDC on the Interdependence of Power System Dynamic Performance in Uncertain Mixed AC/DC Systems; TPWRS Jan. 2020 63-74 Moeini, A., see Rimorov, D., TPWRS  ...  ., +, TPWRS May 2020 2374-2387 Divide and conquer methods Hierarchical Deep Learning Machine for Power System Online Transient Stability Prediction.  ...  Tosatto, A., +, TPWRS Jan. 2020 451-461 Power System Loss Divider.  ... 
doi:10.1109/tpwrs.2020.3040894 fatcat:jjw2rnzr2re6fejvariekzr5uy

Fuel Consumption Monitoring for Travel Demand Modeling

Ali Hakimelahi, K.V. Krishna Rao, S.L. Dhingra, Sina Borzooei
2016 Transportation Research Procedia  
The effect of energy consumption patterns on generation and distribution stage of travel demand modeling based on inverse ability has been considered in the present model.  ...  The purpose of this research is to investigate the impact of fuel consumption patterns on travel demand estimation.  ...  The present work benefited from the valuable data provided by National Iranian Oil Products Distribution Company (NIOPDC) and Mr. Shahram Rezaii. Mr.  ... 
doi:10.1016/j.trpro.2016.11.127 fatcat:gm2f7gyaszesbnlmlh7sdsjynu

Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations [article]

Stephen Haben, Siddharth Arora, Georgios Giasemidis, Marcus Voss, Danica Vukadinovic Greetham
2021 arXiv   pre-print
Reliable forecasting will be a necessary component of many of these systems to anticipate key features and uncertainties.  ...  The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system.  ...  'Divide and conquer' -Components of Load Splitting demand into different classes or clusters is a common technique to improve the aggregated forecasts that manifest in many different approaches.  ... 
arXiv:2106.00006v2 fatcat:rb2yrt4tsjap3jhrb7dz76dg2e

Forecasting Energy Value at Risk Using Multiscale Dependence Based Methodology

Kaijian He, Rui Zha, Yanhui Chen, Kin Lai
2016 Entropy  
Lin and Li [11] used the Vector Error Correction-Multivariate Generalized Autoregressive Conditional Heteroskedasticity (VEC-MGARCH) model to identify the spillover between crude oil and gas markets [11  ...  Practically accurate electricity market risk measurement serves as the foundation for the risk monitoring system and the enterprise risk management system in the electricity related industry.  ...  Acknowledgments: The authors would like to express their sincere appreciation to the editor and the anonymous referees, for their valuable comments and suggestions which helped to improve the quality of  ... 
doi:10.3390/e18050170 fatcat:eehhwdu25bbalm422xgzb4e3cm

Applications of Machine Learning Techniques in Agricultural Crop Production: A Review Paper

Subhadra Mishra, Debahuti Mishra, Gour Hari Santra
2016 Indian Journal of Science and Technology  
Accurate and timely forecasts of crop production are necessary for important policy decisions like import-export, pricing marketing distribution etc. which are issued by the directorate of economics and  ...  However one has understand that these prior estimates are not the objective estimates as these estimate requires lots of descriptive assessment based on many different qualitative factors.  ...  Principal Component Analysis In 42 adopted method through data mining process based on principal component analysis to ascertain the arrangement and familiarity in data used for correct forecasting.  ... 
doi:10.17485/ijst/2016/v9i38/95032 fatcat:wssmaerlavhk7eiymp23uzxvge

Pricing Industrial Discharge Quota (IDQ): A Model Reflecting Opportunity Cost of Performing Ecological Responsibility

Tengda Lu, Xieer Dai, Jun Chen, Ming Dai
2018 Sustainability  
Through analysis, two models-government model and enterprise model-are formulated based on opportunity cost theory to deal with this problem.  ...  The upper reaches of a river system are often trapped in the dilemma of choosing between industrial development and headwater protection.  ...  Establishing a proper and correct pricing indicator system determines the final results and this paper focuses on fiscal income and residents' income mainly to test our model.  ... 
doi:10.3390/su10062032 fatcat:ywfjq5fxunelzdagy2lvontfue

Special Report 1: A Study of China's Energy Supply Revolution [chapter]

Wang Xiaoming, Nie Shangyou, Wang Yunshi
2020 Multi-scale Quantitative Diagenesis and Impacts on Heterogeneity of Carbonate Reservoir Rocks  
substitution of new energy carriers for old ones." 3 • "Energy revolution is the evolution of the energy system by society.  ...  Here are four examples: • "The purpose of a revolution in energy production is to accelerate the transition away from fossil fuels to clean and low-carbon energy, and to accelerate the growth of nuclear  ...  However, when the prevailing context is less restrictive companies should consider employing a divide and conquer strategy, separating themselves into two distinct parts, where one delivers the near-term  ... 
doi:10.1007/978-3-030-40154-2_2 fatcat:zpowool5ivebnajizz46vdezfq

2021 Index IEEE Transactions on Power Systems Vol. 36

2021 IEEE Transactions on Power Systems  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TPWRS March 2021 1141-1151 Error correction On PMU Data Integrity Under GPS Spoofing Attacks: A Sparse Error Cor-rection Framework.  ... 
doi:10.1109/tpwrs.2021.3125235 fatcat:n3ecyy2flnapzjz7clyrp7sx4a

Industry 4.0 Driven Result-oriented PSS: An Assessment in the Energy Management

Claudio Sassanelli, Tiziano Arriga, Stefano Zanin, Idiano D'Adamo, Sergio Terzi
2022 International Journal of Energy Economics and Policy  
The main findings highlight the benefits associated with the Simon model by virtue of digital-based predictive maintenance on the real system.  ...  Cyber-Physical Systems, Artificial Intelligence, and Internet of Things adoption.  ...  ACKNOWLEDGMENTS This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 872548.  ... 
doi:10.32479/ijeep.13313 fatcat:ajawzcj3lzbgbklauqrbypsquy

Components of Spatial Intelligence [chapter]

Mary Hegarty
2010 The psychology of learning and motivation  
This material was based in part upon work supported by the National Science Foundation under Grants Number 0313237 and 0722333, and work supported by the Office of Naval research under Grant Number N000140610163  ...  ACKNOWLEDGMENTS I would like to thank my collaborators, especially Madeleine Keehner, Harvey Smallman, Mike Stieff, and Bonnie Dixon for discussions of many of the issues in this chapter.  ...  Instead they use a divide and conquer approach to accomplish the task.  ... 
doi:10.1016/s0079-7421(10)52007-3 fatcat:55ketlrhbzhmhjv64hwekd5f5q

2020 Index IEEE Transactions on Smart Grid Vol. 11

2020 IEEE Transactions on Smart Grid  
4321-4330 Wang, M., see Li, J., TSG Nov. 2020 4760-4772 Wang, M., see Dong, C., TSG Nov. 2020 5084-5098 Wang, M., see Chang, F., Learning Algorithm for Volt-VAR Control in Power Distribution Systems  ...  ., and Hojabri, H., Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs; 3737-3747 Hou, K., see Liu, X., TSG Nov. 2020 5431-5441  ...  ., +, TSG Nov. 2020 5184- 5192 Environmental economics Low-Carbon Operation of Multiple Energy Systems Based on Energy-Car- bon Integrated Prices.  ... 
doi:10.1109/tsg.2020.3044227 fatcat:qp5iogfnrnambc3qzuwvj4aega
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