Weekly Maximum Electric Load Forecasting Method for 104 Weeks Using Multiple Regression Models
نویسندگان
چکیده
منابع مشابه
Short-Term Electric Load Forecasting Using Multiple Gaussian Process Models
This paper presents a Gaussian process model-based short-term electric load forecasting. The Gaussian process model is a nonparametric model and the output of the model has Gaussian distribution with mean and variance. The multiple Gaussian process models as every hour ahead predictors are used to forecast future electric load demands up to 24 hours ahead in accordance with the direct forecasti...
متن کاملForecasting Electrical Load using ANN Combined with Multiple Regression Method
This paper combined artificial neural network and regression modeling methods to predict electrical load. We propose an approach for specific day, week and/or month load forecasting for electrical companies taking into account the historical load. Therefore, a modified technique, based on artificial neural network (ANN) combined with linear regression, is applied on the KSA electrical network d...
متن کاملAssociated Clustering and Classification Method for Electric Power Load Forecasting
⎯ In the process of power load forecasting, electricity experts always divide the forecasting situation into several categories, and the same category uses the same forecasting model. There exists such a situation that some load curve which domain experts consider belonging to the same category has shown the different characteristics, but some load curve which belongs to different category see...
متن کاملFuzzy and Neuro-fuzzy Computing Models for Electric Load Forecasting
Two new computing models, namely a fuzzy expert system and a hybrid neural network-fuzzy expert system for time series forecasting of electric load, are presented in this paper. The fuzzy-logic-based expert system utilizes the historical relationship between load and dry-bulb temperature, and predicts electric loads fairly accurately, 1-24 h ahead. In the case of the hybrid neural network-fuzzy...
متن کاملForecasting Gold Prices Using Multiple Linear Regression Method
Problem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made illegal in USA 41 years ago, but is ...
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: The Transactions of The Korean Institute of Electrical Engineers
سال: 2014
ISSN: 1975-8359
DOI: 10.5370/kiee.2014.63.9.1186