A Short-Term Data Based Water Consumption Prediction Approach
نویسندگان
چکیده
منابع مشابه
Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach
The solution of single-objective unit commitment problems for generation companies participating in deregulated markets may not directly be implementable mainly because of neglecting some conflicting secondary objectives arising from policy-making at internal/external environment. Benefiting an efficient multi-objective approach to improve the applicability of price-based unit commitment soluti...
متن کاملShort-term prediction of complex binary data
A.V. Adamopoulos∗1, S. Likothanassis2, N.G. Pavlidis3, and M.N Vrahatis3 1 Medical Physics Laboratory, Department of Medicine, Democritus University of Thrace, GR-68100 Alexandroupolis, Hellas 2 Pattern Recognition Laboratory, Department of Computer Engineering and Informatics, University of Patras, GR-26500 Patras, Hellas 3 Computational Intelligence Laboratory (CI Lab), University of Patras A...
متن کاملA New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network
Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunovchr('39')s representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. However, all of these quantifiers require a long signal to quantify the signal complexity. Mate...
متن کاملA Document Weighted Approach for Gender and Age Prediction Based on Term Weight Measure
Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture th...
متن کاملShort-term prediction of wind power with a clustering approach
A clustering approach is presented for short-term prediction of power produced by a wind turbine at low wind speeds. Increased prediction accuracy of wind power to be produced at future time periods is often bounded by the prediction model complexity and computational time involved. In this paper, a trade-off between the two conflicting objectives is addressed. First, a set of the most relevant...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2019
ISSN: 1996-1073
DOI: 10.3390/en12122359