Load forecasting remains as an important activity for the power systems industry, being a critical system. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgrid’s resource at any given time. This study reviews the use of an artificial neural network (ANN) as a next-hour load forecasting method in the Philippine setting. © 2019, World Academy of Research in Science and Engineering. All rights reserved
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
The modernization and optimization of current power systems are the objectives of research and devel...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
Electricity is indispensable and of strategic importance to national economies. Consequently, electr...
Short term load forecasting (STLF) and very short term load forecasting (VSTLF) play an important ro...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Accurate electricity demand forecasts are critical for daily operations planning. They influence man...
Load forecasting has become in recent years one of the major areas of research in electrical enginee...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
This work proposes a short-term electrical load demand forecaster for the Nigerian power distributi...
Presently, electrical energy consumption continues to increase from year to year. Therefore, a short...
A wide area network (WAN) is the set of components interconnected in a power system. A WAN is operat...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
The modernization and optimization of current power systems are the objectives of research and devel...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
Electricity is indispensable and of strategic importance to national economies. Consequently, electr...
Short term load forecasting (STLF) and very short term load forecasting (VSTLF) play an important ro...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Accurate electricity demand forecasts are critical for daily operations planning. They influence man...
Load forecasting has become in recent years one of the major areas of research in electrical enginee...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
This work proposes a short-term electrical load demand forecaster for the Nigerian power distributi...
Presently, electrical energy consumption continues to increase from year to year. Therefore, a short...
A wide area network (WAN) is the set of components interconnected in a power system. A WAN is operat...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
The modernization and optimization of current power systems are the objectives of research and devel...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...