Sensing is a fundamental process to acquire information in the physical world for computation. Existing models treat a sensing process as an indivisible whole, such that sampling and reconstructing of signals are desi...Sensing is a fundamental process to acquire information in the physical world for computation. Existing models treat a sensing process as an indivisible whole, such that sampling and reconstructing of signals are designed to be highly associated with each other in a unified procedure. These strongly coupled sensing systems are efficient, but usually lack reusability and upgradeability. We propose a functional sensing model called SDR （Sampling-Design-Reconstruction） to decouple a sensing process into two modules： sampling protocol and reconstruction algorithm. The core of this decoupling is a design space, which is a common data structure constructed using functions of the sensing target as prior knowledge, to seamlessly bridge the sampling protocol and reconstruction household electricity usage sensing systems can be successfully algorithm together. We demonstrate that existing types of decoupled by introducing corresponding design spaces.展开更多
With proliferation of electric appliances, residential electricity consumption, in particular the air conditioning load becomes more and more important and shares higher and higher percentage in total consumption in l...With proliferation of electric appliances, residential electricity consumption, in particular the air conditioning load becomes more and more important and shares higher and higher percentage in total consumption in large cities like Shanghai. The paper reports in detail the survey on characteristics of residential electric consumption, in particular the air conditioning consumption. To optimize power system operation and expand power market, the paper concludes that power industry must learn to investigate, open up and adapt itself to power market economy.展开更多
Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecas...Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecast orders of the next period instead of ordering data. Mobile agent is applied to achieve the sales data from retailers in the data preparation. And the converting approach from sales data of retailers to prediction data is proposed. Autoregressive and moving average (ARMA) model is introduced to forecast orders and a comparison amongst final prediction error (FPE), Akaike information criterion(AIC), Bayes information criterion(BIC) and Akaike's corrected information criterion(AICC) criterion is shown. The sample test verifies the superiority of AICC; therefore it is applied to identify ARMA order. Forecasting architecture is established and then the prototype system is tested, at last a case shows the orders prediction of the next quarter and verifies the effectiveness of the proposed method.展开更多
As we know, PACT (President's Advisory Committee on Future Technology) members of the IEC (International Electrotechnical Commission) used to be CTOs of large companies from only a few developed countries such as ...As we know, PACT (President's Advisory Committee on Future Technology) members of the IEC (International Electrotechnical Commission) used to be CTOs of large companies from only a few developed countries such as the United States, Germany and Japan. However, Haier Group has broken the ice since it entered the IEC/PACT commission in June 2005, lifting the curtain on international standardization of our national enterprises. And now, Haier is hosting the IEC/PACT annual conference in November 2007. Could you introduce it in detail?展开更多
Year 2006 is the year marking the 100th anniversary of the founding of International Electrotechnical Commission (IEC).IEC has kept close ties with international electrical and electronic products and their manufa... Year 2006 is the year marking the 100th anniversary of the founding of International Electrotechnical Commission (IEC).IEC has kept close ties with international electrical and electronic products and their manufactures for nearly 100 years. As an integral part of electrical and electronic product portfolio, Household electrical product development has also been directly influenced by IEC.……展开更多
With the booming of electric vehicles(EVs) across the world, their increasing charging demands pose challenges to urban distribution networks. Particularly, due to the further implementation of time-of-use prices, the...With the booming of electric vehicles(EVs) across the world, their increasing charging demands pose challenges to urban distribution networks. Particularly, due to the further implementation of time-of-use prices, the charging behaviors of household EVs are concentrated on low-cost periods, thus generating new load peaks and affecting the secure operation of the medium-and low-voltage grids. This problem is particularly acute in many old communities with relatively poor electricity infrastructure. In this paper, a novel two-stage charging scheduling scheme based on deep reinforcement learning is proposed to improve the power quality and achieve optimal charging scheduling of household EVs simultaneously in active distribution network(ADN) during valley period. In the first stage, the optimal charging profiles of charging stations are determined by solving the optimal power flow with the objective of eliminating peak-valley load differences. In the second stage, an intelligent agent based on proximal policy optimization algorithm is developed to dispatch the household EVs sequentially within the low-cost period considering their discrete nature of arrival. Through powerful approximation of neural network, the challenge of imperfect knowledge is tackled effectively during the charging scheduling process. Finally, numerical results demonstrate that the proposed scheme exhibits great improvement in relieving peak-valley differences as well as improving voltage quality in the ADN.展开更多
The importance of energy has been rooted in every aspect of human life. If we have no access to electricity and depend on traditional biomass fuels to meet household energy demands, it will mean we cannot enjoy the mo...The importance of energy has been rooted in every aspect of human life. If we have no access to electricity and depend on traditional biomass fuels to meet household energy demands, it will mean we cannot enjoy the modern energy service. With the deepening international understanding of the issue, many countries have been promoting the practice of eliminating energy poverty, and the "universal access to affordable, clean and sustainable energy" has become one of the post 2015 UN development goals.展开更多
基金Supported by the Strategic Priority Program of the Chinese Academy of Sciences under Grant No.XDA06010401the NationalBasic Research 973 Program of China under Grant Nos.2011CB302800,2011CB302502the Guangdong Talents Program of Chinaunder Grant No.201001D0104726115
文摘Sensing is a fundamental process to acquire information in the physical world for computation. Existing models treat a sensing process as an indivisible whole, such that sampling and reconstructing of signals are designed to be highly associated with each other in a unified procedure. These strongly coupled sensing systems are efficient, but usually lack reusability and upgradeability. We propose a functional sensing model called SDR （Sampling-Design-Reconstruction） to decouple a sensing process into two modules： sampling protocol and reconstruction algorithm. The core of this decoupling is a design space, which is a common data structure constructed using functions of the sensing target as prior knowledge, to seamlessly bridge the sampling protocol and reconstruction household electricity usage sensing systems can be successfully algorithm together. We demonstrate that existing types of decoupled by introducing corresponding design spaces.
文摘With proliferation of electric appliances, residential electricity consumption, in particular the air conditioning load becomes more and more important and shares higher and higher percentage in total consumption in large cities like Shanghai. The paper reports in detail the survey on characteristics of residential electric consumption, in particular the air conditioning consumption. To optimize power system operation and expand power market, the paper concludes that power industry must learn to investigate, open up and adapt itself to power market economy.
基金Hubei International Cooperation Projects,China(No.2007CA008)
文摘Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecast orders of the next period instead of ordering data. Mobile agent is applied to achieve the sales data from retailers in the data preparation. And the converting approach from sales data of retailers to prediction data is proposed. Autoregressive and moving average (ARMA) model is introduced to forecast orders and a comparison amongst final prediction error (FPE), Akaike information criterion(AIC), Bayes information criterion(BIC) and Akaike's corrected information criterion(AICC) criterion is shown. The sample test verifies the superiority of AICC; therefore it is applied to identify ARMA order. Forecasting architecture is established and then the prototype system is tested, at last a case shows the orders prediction of the next quarter and verifies the effectiveness of the proposed method.
文摘As we know, PACT (President's Advisory Committee on Future Technology) members of the IEC (International Electrotechnical Commission) used to be CTOs of large companies from only a few developed countries such as the United States, Germany and Japan. However, Haier Group has broken the ice since it entered the IEC/PACT commission in June 2005, lifting the curtain on international standardization of our national enterprises. And now, Haier is hosting the IEC/PACT annual conference in November 2007. Could you introduce it in detail?
文摘 Year 2006 is the year marking the 100th anniversary of the founding of International Electrotechnical Commission (IEC).IEC has kept close ties with international electrical and electronic products and their manufactures for nearly 100 years. As an integral part of electrical and electronic product portfolio, Household electrical product development has also been directly influenced by IEC.……
基金supported by the National Key R&D Program of China (No.2021ZD0112700)the Key Science and Technology Project of China Southern Power Grid Corporation (No.090000k52210134)。
文摘With the booming of electric vehicles(EVs) across the world, their increasing charging demands pose challenges to urban distribution networks. Particularly, due to the further implementation of time-of-use prices, the charging behaviors of household EVs are concentrated on low-cost periods, thus generating new load peaks and affecting the secure operation of the medium-and low-voltage grids. This problem is particularly acute in many old communities with relatively poor electricity infrastructure. In this paper, a novel two-stage charging scheduling scheme based on deep reinforcement learning is proposed to improve the power quality and achieve optimal charging scheduling of household EVs simultaneously in active distribution network(ADN) during valley period. In the first stage, the optimal charging profiles of charging stations are determined by solving the optimal power flow with the objective of eliminating peak-valley load differences. In the second stage, an intelligent agent based on proximal policy optimization algorithm is developed to dispatch the household EVs sequentially within the low-cost period considering their discrete nature of arrival. Through powerful approximation of neural network, the challenge of imperfect knowledge is tackled effectively during the charging scheduling process. Finally, numerical results demonstrate that the proposed scheme exhibits great improvement in relieving peak-valley differences as well as improving voltage quality in the ADN.
文摘The importance of energy has been rooted in every aspect of human life. If we have no access to electricity and depend on traditional biomass fuels to meet household energy demands, it will mean we cannot enjoy the modern energy service. With the deepening international understanding of the issue, many countries have been promoting the practice of eliminating energy poverty, and the "universal access to affordable, clean and sustainable energy" has become one of the post 2015 UN development goals.
