Neeraj Dhanraj Bokde
Environmental Engineering · 2020
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 8 citations into it
- Control and Systems Engineering — 7 citations into it
- Economics and Econometrics — 7 citations into it
Whom Neeraj Dhanraj Bokde trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhaohua Wu
- Xun Zhang
- Rajesh G. Kavasseri
- Norden E. Huang
- Lianbiao Cui
- Massimiliano Marcellino
- Jing-Li Fan
- Bo Tranberg
- Bangzhu Zhu
- Aviral Kumar Tiwari
Papers from Neeraj Dhanraj Bokde's perspective
Ordered by how strongly the researchers Neeraj Dhanraj Bokde trusts endorse each paper. Same corpus, a different order for every researcher.
- Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method (Advances in Data Science and Adaptive Analysis)
- Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?
- A new approach for crude oil price analysis based on Empirical Mode Decomposition
- A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India
- Real-time carbon accounting method for the European electricity markets (Energy Strategy Reviews)
- How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?
- Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development
- Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach (Applied Energy)
- Prediction and analysis of the three major industries and residential consumption CO2 emissions based on least squares support vector machine in China
- Forecasting of CO2 emissions in Iran based on time series and regression analysis (Energy Reports)
Their papers
- Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling (2020) — 71 citations
- The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling (2020) — 61 citations