Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of renewable energy sources, which are often variable in their production rates, also increases the complexity making predictions even more difficult. In this paper an interval type-2 intuitionist fuzzy logic system whose parameters are trained in a hybrid fashion using gravitational search algorithms with the ridge least square algorithm is presented for short-term prediction of electrical loading. Simulation results are provided to compare the performance of the proposed approach with that of state-o...
The need for accurate load forecasts will increase in the future because of the dramatic changes occ...
This paper focuses on the study of short term load forecasting (STELF) using interval Type-2 Fuzzy L...
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operat...
Establishing accurate electrical load prediction is vital for pricing and power system management. H...
A study on load forecasting prediction is important for efficient management of users' demands for a...
Forecasting the electrical load becomes important, because it can estimate electricity consumption o...
The global requirement for electricity is increasing daily with the expansion of infrastructure and ...
This paper presents a novel design of interval type-2 fuzzy logic systems (IT2FLS) by utilizing the ...
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and p...
In load predication, point-based forecasting methods have been widely applied. However, uncertaintie...
Abstract—Electric load forecasting is an important research field to increase reliability of power s...
Several artificial intelligence methods of short-term electrical load forecasting are discussed in t...
Accurate short term load forecasting (STLF) is essential for a variety of decision-making processes....
The paper discusses the implementation of a fuzzy-logic approach to provide a structural framework f...
Accurate prediction of future electrical power demands greatly facilitates the task of power generat...
The need for accurate load forecasts will increase in the future because of the dramatic changes occ...
This paper focuses on the study of short term load forecasting (STELF) using interval Type-2 Fuzzy L...
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operat...
Establishing accurate electrical load prediction is vital for pricing and power system management. H...
A study on load forecasting prediction is important for efficient management of users' demands for a...
Forecasting the electrical load becomes important, because it can estimate electricity consumption o...
The global requirement for electricity is increasing daily with the expansion of infrastructure and ...
This paper presents a novel design of interval type-2 fuzzy logic systems (IT2FLS) by utilizing the ...
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and p...
In load predication, point-based forecasting methods have been widely applied. However, uncertaintie...
Abstract—Electric load forecasting is an important research field to increase reliability of power s...
Several artificial intelligence methods of short-term electrical load forecasting are discussed in t...
Accurate short term load forecasting (STLF) is essential for a variety of decision-making processes....
The paper discusses the implementation of a fuzzy-logic approach to provide a structural framework f...
Accurate prediction of future electrical power demands greatly facilitates the task of power generat...
The need for accurate load forecasts will increase in the future because of the dramatic changes occ...
This paper focuses on the study of short term load forecasting (STELF) using interval Type-2 Fuzzy L...
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operat...