Results 71 to 80 of about 57,754 (187)
A systematic review of spatial disaggregation methods for climate action planning
Energy and AINational-level climate action plans are often formulated broadly. Spatially disaggregating these plans to individual municipalities can offer substantial benefits, such as enabling regional climate action strategies and for assessing the feasibility of ...
Shruthi Patil +4 more
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Stochastic spatial disaggregation of extreme precipitation to validate a regional climate model and to evaluate climate change impacts over a small watershed [PDF]
Hydrology and Earth System Sciences, 2014 Regional climate models (RCMs) are valuable tools to evaluate impacts of climate change (CC) at regional scale. However, as the size of the area of interest decreases, the ability of a RCM to simulate extreme precipitation events decreases due to the ...
P. Gagnon, A. N. Rousseau
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Recycling Energy Taxes. Impacts on a Disaggregated Labour Market [PDF]
SSRN Electronic Journal, 2000 Abstract This paper analyses the impacts of energy taxes whose revenue is recycled to reduce gross wages and increase employment. The main novel feature of this paper, is the attempt to assess the effectiveness of this fiscal reform by using a labour market model in which both skilled and unskilled workers are used in the production process.
BOSELLO F., CARRARO, Carlo
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International Transactions on Electrical Energy SystemsCombinations of technical advances in artificial intelligence of things (AIoT) are becoming increasingly fundamental constituents of smart houses, buildings, and factories in cities.
Yu-Hsiu Lin, Yung-Yao Chen, Shih-Hao Wei
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Applied Sciences, 2020 A smart grid is a promising use-case of AIoT (AI (artificial intelligence) across IoT (internet of things)) that enables bidirectional communication among utilities that arises with demand response (DR) schemes for demand-side management (DSM) and ...
Yu-Chen Hu, Yu-Hsiu Lin, Chi-Hung Lin
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Using hidden Markov models for iterative non-intrusive appliance monitoring [PDF]
, 2011 Non-intrusive appliance load monitoring is the process of breaking down a household’s total electricity consumption into its contributing appliances. In this paper we propose an approach by which individual appliances are iteratively separated from the ...
Ghosh, Siddhartha +3 more
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BMC Nutrition, 2017 Background With the increased consumption of mixed dishes, the need for more precise quantitative data on individual food components is becoming more important.
Zhixian Sui +2 more
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An In Depth Study into Using EMI Signatures for Appliance Identification
, 2014 Energy conservation is a key factor towards long term energy sustainability. Real-time end user energy feedback, using disaggregated electric load composition, can play a pivotal role in motivating consumers towards energy conservation. Recent works have
Jain M. +7 more
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Unsupervised Energy Disaggregation Via Convolutional Sparse Coding
IEEE Transactions on Consumer ElectronicsIn this work, a method for unsupervised energy disaggregation in private households equipped with smart meters is proposed. This method aims to classify power consumption as active or passive, granting the ability to report on the residents' activity and presence without direct interaction.
Christian Aarset +3 more
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Frequency Control using Cooperative Demand Response through Accumulated Energy [PDF]
, 2015 This paper proposes a hierarchical control architecture for engaging demand into providing primary frequency response services. The proposed architecture relies on the use of information about accumulated energy for the aggregation of demand ...
Annaswamy, Anuradha, Cvetkovic, Milos
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