Journal ArticleDOI
Electricity load forecasting by an improved forecast engine for building level consumers
TLDR
A new prediction model for small scale load prediction i.e., buildings or sites is outlined, based on improved version of empirical mode decomposition (EMD) which is called sliding window EMD (SWEMD), a new feature selection algorithm and hybrid forecast engine.About:
This article is published in Energy.The article was published on 2017-11-15. It has received 335 citations till now. The article focuses on the topics: Electrical load & Feature selection.read more
Citations
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Journal ArticleDOI
A new prediction model of battery and wind-solar output in hybrid power system
TL;DR: Short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component and includes a feature selection filter and hybrid forecast engine based on neural network and an intelligent evolutionary algorithm.
Journal ArticleDOI
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm
Melika Hamian,Ayda Darvishan,Mehdi Hosseinzadeh,Milad Janghorban Lariche,Noradin Ghadimi,Alireza Nouri +5 more
TL;DR: The proposed solution methodology uses linear programming along with Mixed Integer Genetic Algorithm (MIGA) to minimize the payment cost and different custom-designed functions have been added to the basic MIGA to decrease the solution time.
Journal ArticleDOI
A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting
TL;DR: A ridgelet transform is applied to a wind signal to decompose it into sub-signals and the output of ridgelettransform is considered as input of new feature selection to identify the best candidates to be used as the forecast engine input.
Journal ArticleDOI
Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting
TL;DR: A hybrid forecast strategy including novel feature selection technique, and a complex forecast engine based on a new intelligent algorithm to improve its accuracy and capability is proposed for short-term load forecasting of electricity load.
Journal ArticleDOI
Different states of multi-block based forecast engine for price and load prediction
TL;DR: A complex prediction approach is presented based on feature selection, and multi-stage forecast engine for load and price forecast in electricity market and the proposed model is tested over real-world engineering test cases through comparison with other prediction methods.
References
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Journal ArticleDOI
An introduction to variable and feature selection
Isabelle Guyon,André Elisseeff +1 more
TL;DR: The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.
Journal ArticleDOI
Smart Grid — The New and Improved Power Grid: A Survey
TL;DR: In this paper, the authors survey the literature till 2011 on the enabling technologies for the Smart Grid and explore three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Smart Grid - The New and Improved Power Grid:
TL;DR: This article surveys the literature till 2011 on the enabling technologies for the Smart Grid, and explores three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Journal ArticleDOI
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF
TL;DR: This work reimplemented Assistant, a system for top down induction of decision trees, using RELIEFF, an extension of RELIEF, as an estimator of attributes at each selection step for heuristic guidance of inductive learning algorithms.
Journal ArticleDOI
Electricity price forecasting in deregulated markets: A review and evaluation
TL;DR: The main methodologies used in electricity price forecasting have been reviewed in this paper and classification of various price-influencing factors used by different researchers has been done and put for reference.