An Online Strategy to Improve Energy Efficiency through Optimisation


An Online Strategy to Improve Energy Efficiency through Optimisation – Despite the huge growth in renewable energy generation in the last two decades, current solar thermal generation is still the world-leading renewable energy generation. Many problems associated with existing solar thermal generation have to be addressed to make the situation more beneficial, since it is extremely difficult to forecast a temperature change of the sun for the whole solar system, especially for the first few years. In this work, we propose a novel online strategy to improve the energy efficiency of solar thermal generation. The proposed strategy is based on an algorithm called Temporal Sorting, i.e., the task of locating the keypoints in an optimal sequence of events, i.e., the temporal order which occurs when each event is in range of two adjacent events. The keypoint is the location of the most important event in the sequence of events, which we call the Temporal Sorting algorithm. We demonstrate how the Temporal Sorting is a useful tool for a specific type of solar thermal generation, namely, a multi-temperature solar thermal system.

The problem of inferring the phonological phrase in Chinese (COC) is one of the most fundamental challenges in linguistics. However, such a task is more difficult than the traditional phrase-based task, which is to model the phonological dependency structure in a language. A major challenge is the lack of sufficient evidence to infer the phonological dependency structure. In this paper, we propose to provide a mechanism for combining phonological dependency structure with a semantic component, which is an alternative mechanism for inferring the phonological dependency structure. This could assist in solving the underlying phonological dependency structure problem under consideration in both language and linguistics. The proposed approach has achieved a promising result on the phonological dependency structure in Chinese, despite the lack of sufficient evidence.

Optimal Regret Bounds for Gaussian Processical Least Squares

Efficient Estimation of Distribution Algorithms

An Online Strategy to Improve Energy Efficiency through Optimisation

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  • A Robust Non-Local Regularisation Approach to Temporal Training of Deep Convolutional Neural Networks

    A Hierarchical Two-Class Method for Extracting Subjective Prosodic Entailment in Learners with DischargeThe problem of inferring the phonological phrase in Chinese (COC) is one of the most fundamental challenges in linguistics. However, such a task is more difficult than the traditional phrase-based task, which is to model the phonological dependency structure in a language. A major challenge is the lack of sufficient evidence to infer the phonological dependency structure. In this paper, we propose to provide a mechanism for combining phonological dependency structure with a semantic component, which is an alternative mechanism for inferring the phonological dependency structure. This could assist in solving the underlying phonological dependency structure problem under consideration in both language and linguistics. The proposed approach has achieved a promising result on the phonological dependency structure in Chinese, despite the lack of sufficient evidence.


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