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Generation Expansion Planning Considering Cryptocurrency Mining
, M.Sc. Thesis Sharif University of Technology ; Rajabi Ghahnavieh, Abbas (Supervisor)
Abstract
Today, financial exchanges have taken on a new form and cryptocurrencies were able to have a special place in these exchanges. Cryptocurrencies have attracted a lot of attention due to their decentralized nature. One of these cryptocurrencies is called Bitcoin and has the largest share of cryptocurrency exchanges. Due to the high volume of Bitcoin exchanges, a lot of energy is needed to supply this decentralized network to confirm transactions and extract it. In order for people in this industry to continue mining Bitcoin, they need to maintain their profitability. Therefore, choosing low consumption and profitable miners is one of the requirements of this industry. The aim of the thesis is...
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
, Article Engineering with Computers ; 2018 , Pages 1-10 ; 01770667 (ISSN) ; Ebtehaj, I ; Hasanipanah, M ; Bonakdari, H ; Bakhshandeh Amnieh, H ; Sharif University of Technology
Springer London
2018
Abstract
In the open-pit mines and civil projects, drilling and blasting is the most common method for rock fragmentation aims. This article proposes a new hybrid forecasting model based on firefly algorithm, as an algorithm optimizer, combined with the adaptive neuro-fuzzy inference system for estimating the fragmentation. In this regard, 72 datasets were collected from Shur river dam region, and the required parameters were measured. Using the different input parameters, six hybrid models were constructed. In these models, 58 and 14 data were used for training and testing, respectively. The proposed hybrid models were then evaluated in accordance with statistical criteria such as coefficient of...
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
, Article Engineering with Computers ; Volume 35, Issue 1 , 2019 , Pages 47-56 ; 01770667 (ISSN) ; Ebtehaj, I ; Hasanipanah, M ; Bonakdari, H ; Bakhshandeh Amnieh, H ; Sharif University of Technology
Springer London
2019
Abstract
In the open-pit mines and civil projects, drilling and blasting is the most common method for rock fragmentation aims. This article proposes a new hybrid forecasting model based on firefly algorithm, as an algorithm optimizer, combined with the adaptive neuro-fuzzy inference system for estimating the fragmentation. In this regard, 72 datasets were collected from Shur river dam region, and the required parameters were measured. Using the different input parameters, six hybrid models were constructed. In these models, 58 and 14 data were used for training and testing, respectively. The proposed hybrid models were then evaluated in accordance with statistical criteria such as coefficient of...