MEASURING THE INVISIBLE: AN OVERVIEW OF AND OUTLOOK FOR TAX NON-COMPLIANCE ESTIMATES AND MEASUREMENT METHODS FOR SWITZERLAND

Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland

Summary This paper gives an overview of tax non-compliance estimates and evaluates the suitability of various tax non-compliance measurement methods for Switzerland.The existing estimates for Switzerland focus strongly on non-declared assets and are based on a limited number of measurement methods.Nevertheless, the estimates range widely, between C

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Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission

A supervisory control system using Model Predictive Control (MPC) has been designed to evaluate the efficiency of wind and solar power and is consistent with the cost function in the supervisory MPC optimization problem.A two-layer Economic Model Predictive Control (EMPC) framework has been developed and has improved results such as cost reductions

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Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers.In this paper, machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological, optical (Sentinel-2) and radar sate

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