A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting

Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain

(2018) Gregor Cerne et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Modeling public holidays in load forecasting: a German case study

(2018) Florian ZIEL   Journal of Modern Power Systems and Clean Energy

A learning framework based on weighted knowledge transfer for holiday load forecasting

(2018) Pan ZENG et al.   Journal of Modern Power Systems and Clean Energy

Long-term system load forecasting based on data-driven linear clustering method

(2017) Yiyan LI et al.   Journal of Modern Power Systems and Clean Energy

Forecasting electricity load with advanced wavelet neural networks

(2016) Mashud Rana et al.   NEUROCOMPUTING

Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting in China

(2015) Zhen Shao et al.   APPLIED ENERGY

Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problems

(2015) Jarley Palmeira Nobrega et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid filter–wrapper feature selection for short-term load forecasting

(2015) Zhongyi Hu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network

(2015) D.K. Chaturvedi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

(2015) Franklin L. Quilumba et al.   IEEE Transactions on Smart Grid

Improved pattern sequence-based forecasting method for electricity load

(2014) Cheng Hao Jin et al.   IEEJ Transactions on Electrical and Electronic Engineering

Modeling special-day effects for forecasting intraday electricity demand

(2013) Myung Suk Kim   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Short-Term Forecasting of Anomalous Load Using Rule-Based Triple Seasonal Methods

(2013) Siddharth Arora et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

(2013) Ervin Ceperic et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Holidays short-term load forecasting using fuzzy improved similar day method

(2012) Akbar Ebrahimi et al.   International Transactions on Electrical Energy Systems

Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment

(2011) Young-Min Wi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Energy Time Series Forecasting Based on Pattern Sequence Similarity

(2010) Francisco Martinez Alvarez et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING