Combining Weather Stations for Electric Load Forecasting
نویسندگان
چکیده
منابع مشابه
Preprints, 16th AMS Conference on Weather Analysis and Forecasting Phoenix, Arizona, 11-16 January 1998, J24-J27 J2.4 VALUE OF WEATHER FORECASTS FOR ELECTRIC UTILITY LOAD FORECASTING
Weather forecasts can be evaluated in a variety of ways. Murphy (1993) defined three kinds of forecast “goodness”: consistency, quality, and value. Consistency refers to the relationship between the forecasts and the “true beliefs” of the forecaster, quality refers to the relationship between the forecasts and weather events, and value refers to the relationship between the forecasts and the be...
متن کاملFuzzy Load Forecasting of Electric Power System
In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing. The new division is promising to improve the result of evident degree of clustering index to pow...
متن کاملWind Power and Electric Load Forecasting
As renewable energy increasingly integrates into the electric power system, electric load forecasting and renewable energy power generation forecasting become more important. In this project, ARIMA and NARX are applied to build load forecasting model focusing on improving statistical and computational efficiency without losing accuracy. ARIMA turns out to be better for short term forecasting wh...
متن کاملEnsembling Approaches to Hierarchical Electric Load Forecasting
Short term electrical load forecasting is critical in ensuring reliability and operational efficiency for electrical systems. With an influx of monitoring data and the growing technical complexity of the grid, there is a great interest and need for accurate forecasting in electricity planning. Our project uses a curated electric load dataset from Kaggle and evaluates the performance of several ...
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 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/en12081510