Grey Multivariable Prediction Model of Energy Consumption with Different Fractional Orders
نویسندگان
چکیده
The scientific prediction of energy consumption plays an essential role in grasping trends and optimizing structures. Energy will be affected by many factors. In this paper, order to improve the accuracy model, grey correlation analysis method is used analyze relevant First, factor with largest degree selected, then a new multivariable convolution model dual orders established. Different fractional are accumulate target data sequence influencing-factor sequence, optimized particle swarm optimization algorithm. fit test Shanghai, Guizhou Shandong provinces China from 2011 2020 compared other models. Experimental results MAPE RMSPE measurements show that our improved reasonable effective prediction. At same time, applied forecast three regions 2021 2025, providing reliable information for future distribution.
منابع مشابه
Grey Prediction Model for Forecasting Electricity consumption
Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...
متن کاملA Grey NGM(1,1, k) Self-Memory Coupling Prediction Model for Energy Consumption Prediction
Energy consumption prediction is an important issue for governments, energy sector investors, and other related corporations. Although there are several prediction techniques, selection of the most appropriate technique is of vital importance. As for the approximate nonhomogeneous exponential data sequence often emerging in the energy system, a novel grey NGM(1,1, k) self-memory coupling predic...
متن کاملCCII based fractional filters of different orders
This paper aims to generalize the design of continuous-time filters to the fractional domain with different orders and validates the theoretical results with two different CCII based filters. In particular, the proposed study introduces the generalized formulas for the previous fractional-order analysis of equal orders. The fractional-order filters enhance the design flexibility and prove that ...
متن کاملPrediction of Renewable Energy Production Using Grey Systems Theory
Due to the reduction of renewable energy resources such as fossil fuels, the energy crisis is one of the most critical issues in today’s world. The application of these resources brings about many environmentalpollutionsthatleadtoglobalwarming. Therefore,variouscountrieshaveattemptedto reducepotentialdamageanduserenewableenergiesbytheintroductionandpromotionofrenewable energies as an essential ...
متن کاملDiscretization of Fractional Order Differentiator and Integrator with Different Fractional Orders
This paper is concerned with the discretization of the fractional-order differentiator and integrator, which is the foundation of the digital realization of fractional order controller. Firstly, the parameterized Al-Alaoui transform is presented as a general generating function with one variable parameter, which can be adjusted to obtain the commonly used generating functions (e.g. Euler operat...
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: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su142416426