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RISDesigning Commercial Short-term Load Forecasting Software using Hybrid ANN-ARIMA Forecasting Engine
سال: 2017
خلاصه:
This paper presents a smart forecasting software with the aim to predict short term electricity load. For this purpose, different forecasting engines have been utilized to reduce error. In order to devise a commercial ...
Modeling and Forecasting Short-term Electricity Load based on Multi Adaptive Neural-Fuzzy Inference System by Using Temperature
سال: 2010
خلاصه:
In this paper, the use of Adaptive Neural-Fuzzy
Inference System (ANFIS) to study the design of Short-Term
Load Forecasting (STLF) systems for the east of Iran was
explored. While reviewing the probability of chaos and...
Brightness control in dynamic range constrained visible light OFDM systems
ناشر: IEEE
سال: 2014
Improved switched boost inverter with reducing capacitor volatge stress
ناشر: IEEE
سال: 2014
Multiple map hypotheses for planning and navigating in non-stationary environments
ناشر: IEEE
سال: 2014
A kinematic modeling of an amphibious spherical robot system
ناشر: IEEE
سال: 2014
Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems
ناشر: IEEE
سال: 2014