Modeling and forecasting of cooling and electricity load demand
نویسندگان
چکیده
منابع مشابه
Modeling and Forecasting Intraday Electricity Load
This paper aims models electricity load curves for short-term forecasting purposes. A broad class of multivariate dynamic regression model is proposed to model hourly electricity load. Alternative forecasting models, special cases of our general model, include separate time series regressions for each hour and week day. All the models developed include components that represent trends, seasons ...
متن کاملNonparametric modeling and forecasting electricity demand: an empirical study
This paper uses half-hourly electricity demand data in South Australia as an empirical study of nonparametric modeling and forecasting methods for prediction from half-hour ahead to one year ahead. A notable feature of the univariate time series of electricity demand is the presence of both intraweek and intraday seasonalities. An intraday seasonal cycle is apparent from the similarity of the d...
متن کاملGated Ensemble Learning Method for Demand-Side Electricity Load Forecasting
The forecasting of building electricity demand is certain to play a vital role in the future power grid. Given the deployment of intermittent renewable energy sources and the ever increasing consumption of electricity, the generation of accurate building-level electricity demand forecasts will be valuable to both grid operators and building energy management systems. The literature is rich with...
متن کاملModeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach
Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach Haeran Cho a , Yannig Goude b , Xavier Brossat b & Qiwei Yao c d a Department of Statistics, London School of Economics, UK b Electricité de France, R&D, Clamart, France c Department of Statistics, London School of Economics, Houghton Street, London, WC2A 2AE, U.K. d Guanghua School of Management, Peking University, China...
متن کاملDemand Forecasting for Electricity
Introduction Forecasting demand is both a science and an art. Econometric methods of forecasting, in the context of energy demand forecasting, can be described as ‘the science and art of specification, estimation, testing and evaluation of models of economic processes’ that drive the demand for fuels. The need and relevance of forecasting demand for an electric utility has become a much-discuss...
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: Applied Energy
سال: 2014
ISSN: 0306-2619
DOI: 10.1016/j.apenergy.2014.09.004