This open access book analyses investment risks and challenges for the financing of clean energy in sub-Saharan Africa.

This study investigates the connectedness between clean energy and Australian electricity markets from May 2005 to December 2020. Using time-varying parameter vector autoregressions, we find weak markets. The of illustrates diversification potential for We cite several implications policymakers, regulatory bodies, investors, market participants.

In this paper, the uncertainty is defined as the mean square error between a given enhanced noisy observation vector and the corresponding clean one. Then, a DNN is trained by using enhanced noisy observation vectors as input and the uncertainty as output with a training database. In testing, the DNN receives an enhanced noisy observation vector and delivers the estimated uncertainty. This unce...

The work proposed a denoising speech method using deep learning. predictor and target network signals were the amplitude spectra of wavelet-decomposition vectors noisy audio signal clean signal, respectively. output was spectrum denoised signal. Besides, regression used input to minimize mean square error between its targets. vector transformed back time domain by phase vector. Then, obtained i...

In the context of energy crisis and global climate deterioration, sustainable development clean will become a new direction for future development. Based on process in China past ten years, this paper expounds China’s policy plan. The hydropower, wind power, solar power recent years is analyzed. On basis, Grey Forecasting Model used to forecast structure next 10 point out market opportunities f...

THE FEASIBILITY OF TRANSFERRING CLEAN TECHNOLOGY FROM THE UNITED STATES TO CHINA: A CASE STUDY FROM THE PAPER INDUSTRY