In my 40-year career as a utility consumer advocate, regulator, and consultant, I have participated in key power industry transitions, including • the 1980s, advocating integrated resource planning collaborating with utilities to design energy efficiency...

The comprehensive utilization of multi-energy is an important means to promote the high proportion clean energy consumption in region. This paper proposes a absorption mechanism based on electric heating participate trading, which applied transaction and operation optimization terminals. In this paper, scheduling framework terminal constructed first, then optimal model participating trading est...

In this work, we compare the air quality benefits of a variety future policy scenarios geared towards controlling EGU (electricity generating units) emissions between present-day conditions and 2050. While these policies are motivated by reducing CO2 emissions, they also yield significant co-benefits for criteria pollutants, such as ozone PM2.5. An integrated set clean energy were examined to a...

Improving energy efficiency and optimizing structure is the key to achieving “dual carbon” goal high-quality development. This paper calculates of 30 provinces in China between 2000 2017 using DEA method. The study found that China, higher East than West South North coastal areas interior. Moreover, gap clean fuel fossil widening. Taking total power consumption as input measuring carbon emissio...

This paper addresses the problem of noise reduction in the time domain where the clean speech sample at every time instant is estimated by filtering a vector of the noisy speech signal. Such a clean speech estimate consists of both the filtered speech and residual noise (filtered noise) as the noisy vector is the sum of the clean speech and noise vectors. Traditionally, the filtered speech is t...

Dealing with additive noise in the i-vector space can be challenging due to the complexity of its effect in that space. Several compensation techniques have been proposed in the last years to either remove the noise effect by setting a noise model in the i-vector space or build better scoring techniques that take environment perturbations into account. We recently presented a new efficient Baye...

Generative adversarial networks (GANs) transform lowdimensional latent vectors into visually plausible images. If the real dataset contains only clean images, then ostensibly, the manifold learned by the GAN should contain only clean images. In this paper, we propose to denoise corrupted images by finding the nearest point on the GAN manifold, recovering latent vectors by minimizing distances i...