Electric load forecasting: literature survey and classification of methods
A review and categorization of electric load forecasting techniques is presented. A wide
range of methodologies and models for forecasting are given in the literature. These …
range of methodologies and models for forecasting are given in the literature. These …
Load forecasting techniques and methodologies: A review
Electricity demand forecasts are extremely important for energy suppliers and other
participants in electric energy generation, transmission, distribution and markets. Accurate …
participants in electric energy generation, transmission, distribution and markets. Accurate …
Day-ahead load forecast using random forest and expert input selection
The electrical load forecast is getting more and more important in recent years due to the
electricity market deregulation and integration of renewable resources. To overcome the …
electricity market deregulation and integration of renewable resources. To overcome the …
A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation
In this paper, a fuzzy model is suggested for the prediction of wind speed and the produced
electrical power at a wind park. The model is trained using a genetic algorithm-based …
electrical power at a wind park. The model is trained using a genetic algorithm-based …
[KNJIGA][B] Short term electric load forecasting
T Hong - 2010 - search.proquest.com
Load forecasting has been a conventional and important process in electric utilities since the
early 20 th century. Due to the deregulation of the electric utility industry, the utilities tend to …
early 20 th century. Due to the deregulation of the electric utility industry, the utilities tend to …
RBF neural network and ANFIS-based short-term load forecasting approach in real-time price environment
Z Yun, Z Quan, S Caixin, L Shaolan… - … on power systems, 2008 - ieeexplore.ieee.org
With the appearance of electricity markets, the variation of the price of electricity will
influence usage custom of electric energy. This will complicate short-term load forecasting …
influence usage custom of electric energy. This will complicate short-term load forecasting …
Short-term load forecasting based on big data technologies
P Zhang, X Wu, X Wang, S Bi - CSEE Journal of Power and …, 2015 - ieeexplore.ieee.org
With the construction of smart grid, lots of renewable energy resources such as wind and
solar are deployed in power system. It might make the power system load varied complex …
solar are deployed in power system. It might make the power system load varied complex …
Notice of violation of ieee publication principles: Short-term load forecasting methods: A review
AK Srivastava, AS Pandey… - … International conference on …, 2016 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles" Short-Term Load Forecasting Methods: A
Review" By AK Srivastava, Ajay Shekhar Pandey and Devender Singh in the Proceedings of …
Review" By AK Srivastava, Ajay Shekhar Pandey and Devender Singh in the Proceedings of …
[HTML][HTML] Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building
Modern power grids face the challenge of increasing renewable energy penetration that is
stochastic in nature and calls for accurate demand predictions to provide the optimized …
stochastic in nature and calls for accurate demand predictions to provide the optimized …
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
The importance of load forecasting has been increasing lately and improving the use of
energy resources remains a great challenge. The amount of data collected from Microgrid …
energy resources remains a great challenge. The amount of data collected from Microgrid …