Parametric Model Based Approach for Consumer Load Prediction
نویسندگان
چکیده
منابع مشابه
the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولA fuzzy parametric approach for the model-based diagnosis
This paper presents a new approach for the model-based diagnosis. The model is based on an adaptation with a variable forgetting factor. The variation of this factor is managed thanks to fuzzy logic. Thus, we propose a design method of a diagnosis system for the sensors defaults. In this study, the adaptive model is developed theoretically for the Multiple-Input Multiple-Output (MIMO) systems. ...
متن کاملPrediction Outcome History-Based Confidence Estimation for Load Value Prediction
Load instructions occasionally incur very long latencies that can significantly affect system performance. Load value prediction alleviates this problem by allowing the CPU to speculatively continue processing without having to wait for the slow memory access to complete. Current load value predictors can only correctly predict about forty to seventy percent of the fetched load values. To avoid...
متن کاملType-Based Load-Value Prediction
To alleviate the high cost of main-memory accesses, computer architects have proposed various speculation mechanisms, including load-value prediction. A load-value predictor guesses the result of load instructions, thus allowing dependent instructions to execute without having to wait for the memory access to complete. Unfortunately, costly mispredictions hinder the true potential of load-value...
متن کاملA Hybrid Model for Short-Term Load Forecasting Based on Non- Parametric Error Correction
In this paper, we presented the performance of forecasting model and error correction will affect the accuracy of short-term load forecasting. Least squares support vector machines (LS-SVM) based on improved particle swarm optimization is selected as load forecasting model. Forecasting accuracy and generalization performance of LS-SVM depend on selection of its parameters greatly. Adaptive part...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ELEKTRIKA- Journal of Electrical Engineering
سال: 2019
ISSN: 0128-4428
DOI: 10.11113/elektrika.v18n2.152