206 citations · 518 across the 12 of their papers we have counts for
12 papers
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
Neeraj Dhanraj Bokde
The Jaya R package offers a robust and versatile implementation of the parameter-free Jaya optimization algorithm, suitable for solving both single-objective and multi-objective op…
Cost and CO2 emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system
Sleiman Farah, Neeraj Bokde, Gorm Bruun Andresen
Green hydrogen is essential for producing renewable fuels that are needed in sectors that are hard to electrify directly. Hydrogen production in a grid-connected hybrid renewable e…
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
Banoth Thulasya Naik, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde
Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety of critical operations. To provide enhance…
Natural Time-Series Analysis and Vedic Hindu Calendar System
Neeraj Dhanraj Bokde
Worldwide, calendars are classified into three categories, solar, lunar, and lunisolar, based on motions of Sun, Moon, and both, respectively. Being lunisolar, the Vedic Hindu cale…
cleanTS: Automated (AutoML) Tool to Clean Univariate Time Series at Microscales
Mayur Kishor Shende, Andres E. Feijoo-Lorenzo, Neeraj Dhanraj Bokde
Data cleaning is one of the most important tasks in data analysis processes. One of the perennial challenges in data analytics is the detection and handling of non-valid data. Fail…
Optimal Scheduling of Flexible Power-to-X Technologies in the Day-ahead Electricity Market
Neeraj Dhanraj Bokde, Tim T Pedersen, Gorm Bruun Andresen
The ambitious CO2 emission targets of the Paris agreements are achievable only with renewable energy, CO2-free power generation, new policies, and planning. The main motivation of…
A graphical approach to carbon-efficient spot market scheduling for Power-to-X applications
Neeraj Bokde, Bo Tranberg, Gorm Bruun Andresen
In the Paris agreement of 2015, it was decided to reduce the CO2 emissions of the energy sector to zero by 2050 and to restrict the global mean temperature increase to 1.5 degree C…
ForecastTB An R Package as a Test-Bench for Time Series Forecasting Application of Wind Speed and Solar Radiation Modeling
Neeraj Dhanraj Bokde, Zaher Mundher Yaseen, Gorm Bruun Andersen
This paper introduces an R package ForecastTB that can be used to compare the accuracy of different forecasting methods as related to the characteristics of a time series dataset.…
Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling
Neeraj Bokde, Bo Tranberg, Gorm Bruun Andresen
The world is facing major challenges related to global warming and emissions of greenhouse gases is a major causing factor. In 2017, energy industries accounted for 46% of all CO2…
An empirical estimation for time and memory algorithm complexities: newly developed R package
Marc Agenis-Nevers, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen +1
This article introduces GuessCompx which is an R package that performs an empirical estimation on the time and memory complexities of an algorithm or a function. It tests multiple…
R package imputeTestbench to compare imputations methods for univariate time series
Neeraj Bokde, Kishore Kulat, Marcus W Beck +1
This paper describes the R package imputeTestbench that provides a testbench for comparing imputation methods for missing data in univariate time series. The imputeTestbench packag…
PSF : Introduction to R Package for Pattern Sequence Based Forecasting Algorithm
Neeraj Bokde, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez +1
This paper discusses about an R package that implements the Pattern Sequence based Forecasting (PSF) algorithm, which was developed for univariate time series forecasting. This alg…