Daily Peak Load Forecast of Banda Aceh City Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method

Author:

Tindra Heldi1,Sara Ira Devi2,Adriman Ramzi2

Affiliation:

1. Universitas Syiah Kuala,Graduate program of Electrical Engineering,Banda Aceh,Aceh

2. Universitas Syiah Kuala,Dept. of Electrical and Computer Engineering,Banda Aceh,Aceh

Publisher

IEEE

Reference26 articles.

1. Enhanced Short-Term Load Forecasting Using Artificial Neural Networks

2. GCC electrical long-term peak load forecasting modeling using ANFIS and MLR methods

3. Short term load forecasting using artificial neural network;singh;2017 4th Int Conf Image Inf Process ICIIP 2017,2018

4. Study of Load Forecasting Techniques using;tale;Int J Advenced Res Electr Electron Instrum Eng,2017

5. EMD–PSO–ANFIS‐based hybrid approach for short‐term load forecasting in microgrids

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1. End-to-End Top-Down Load Forecasting Model for Residential Consumers;Energies;2024-05-24

2. Data-driven Intelligent Decision Recommender for the Flexible Scheduling of Electrical Vehicles;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

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