Corpus ID: 10765594

Electrical Load Forecasting using Adaptive Neuro-Fuzzy Inference System

  title={Electrical Load Forecasting using Adaptive Neuro-Fuzzy Inference System},
  author={Gayatri Dwi Santika and W. Mahmudy and A. Naba},
Electrical load forecasting is well-known as one of the most important challenges in the management of electrical supply and demand and has been studied extensively. Electrical load forecasting is conducted at different time scales from short-term, medium-term and long-term load forecasting. Adaptive neuro-fuzzy inference system is a model that combines fuzzy logic and adaptive neuro system and is implemented in time-series forecasting. First, ANFIS structure is decided using subtractive… Expand

Figures and Tables from this paper

Enabling external factors for consumption electricity forecasting using hybrid genetic algorithm and fuzzy neural system
  • Gayatri Dwi Santika
  • Computer Science
  • 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)
  • 2017
GCC electrical long-term peak load forecasting modeling using ANFIS and MLR methods
Capacity Margin Probabilities Neuro-Fuzzy Model Development and LOLE Calculation
  • I. Qamber
  • 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT)
  • 2020
Development Model of the Inverter Size for the GCC Countries


Adaptive Neuro-Fuzzy Inference System vs. Regression based approaches for annual electricity load forecasting
An ANFIS model of electricity price forecasting based on subtractive clustering
  • H. Zhou, X. Wu, X. Li
  • Computer Science
  • 2011 IEEE Power and Energy Society General Meeting
  • 2011
Fuzzy inference models for short-term load forecasting with tabu search
  • H. Mori, Y. Sone, D. Moridera, T. Kondo
  • Computer Science
  • IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
  • 1999
Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction
Short-Term Load Forecasting Based on a Semi-Parametric Additive Model
A heuristic fuzzy algorithm bio-inspired by Evolution Strategies for energy forecasting problems
Daily reservoir inflow forecasting using fuzzy inference systems