ºÝºÝߣshows by User: pilillo / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: pilillo / Sat, 11 Sep 2021 10:02:01 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: pilillo Mastro /slideshow/mastro-250169895/250169895 mastroslides-210911100201
Metadata management in Go]]>
Metadata management in Go]]> Sat, 11 Sep 2021 10:02:01 GMT /slideshow/mastro-250169895/250169895 pilillo@slideshare.net(pilillo) Mastro pilillo Metadata management in Go <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mastroslides-210911100201-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Metadata management in Go
Mastro from Andrea Monacchi
]]> 790 0 https://cdn.slidesharecdn.com/ss_thumbnails/mastroslides-210911100201-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mastro /slideshow/mastro-249489842/249489842 mastro-210625133857
Metadata management in Go]]>
Metadata management in Go]]> Fri, 25 Jun 2021 13:38:57 GMT /slideshow/mastro-249489842/249489842 pilillo@slideshare.net(pilillo) Mastro pilillo Metadata management in Go <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mastro-210625133857-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Metadata management in Go
Mastro from Andrea Monacchi
]]> 225 0 https://cdn.slidesharecdn.com/ss_thumbnails/mastro-210625133857-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Coordination in distributed systems /slideshow/coordination-in-distributed-systems/239690796 coordinationindistributedsystems-201202175117
A quick intro to coordination in distributed systems]]>
A quick intro to coordination in distributed systems]]> Wed, 02 Dec 2020 17:51:17 GMT /slideshow/coordination-in-distributed-systems/239690796 pilillo@slideshare.net(pilillo) Coordination in distributed systems pilillo A quick intro to coordination in distributed systems <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/coordinationindistributedsystems-201202175117-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A quick intro to coordination in distributed systems
Coordination in distributed systems from Andrea Monacchi
]]> 127 0 https://cdn.slidesharecdn.com/ss_thumbnails/coordinationindistributedsystems-201202175117-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to istio /slideshow/introduction-to-istio/238931190 introductiontoistio-201021111302
Istio is amazing]]>
Istio is amazing]]> Wed, 21 Oct 2020 11:13:02 GMT /slideshow/introduction-to-istio/238931190 pilillo@slideshare.net(pilillo) Introduction to istio pilillo Istio is amazing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontoistio-201021111302-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Istio is amazing
Introduction to istio from Andrea Monacchi
]]> 343 0 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontoistio-201021111302-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Anomaly detection on wind turbine data /slideshow/anomaly-detection-on-wind-turbine-data/150358497 qdnti2att6y8ky8fmd6w-signature-9e7783c2ccded18f51e6b02280546e78a88df23947e96fdb605c10107791fdad-poli-190618080032
An overview of possible methods to perform unsupervised anomaly detection of wind turbine operation]]>
An overview of possible methods to perform unsupervised anomaly detection of wind turbine operation]]> Tue, 18 Jun 2019 08:00:32 GMT /slideshow/anomaly-detection-on-wind-turbine-data/150358497 pilillo@slideshare.net(pilillo) Anomaly detection on wind turbine data pilillo An overview of possible methods to perform unsupervised anomaly detection of wind turbine operation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qdnti2att6y8ky8fmd6w-signature-9e7783c2ccded18f51e6b02280546e78a88df23947e96fdb605c10107791fdad-poli-190618080032-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An overview of possible methods to perform unsupervised anomaly detection of wind turbine operation
Anomaly detection on wind turbine data from Andrea Monacchi
]]> 548 2 https://cdn.slidesharecdn.com/ss_thumbnails/qdnti2att6y8ky8fmd6w-signature-9e7783c2ccded18f51e6b02280546e78a88df23947e96fdb605c10107791fdad-poli-190618080032-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards Data Operations /slideshow/towards-data-operations/137675608 dataops1-190322125017
A short introduction to the trend of Data Operations, an approach to agile data analytics projects.]]>
A short introduction to the trend of Data Operations, an approach to agile data analytics projects.]]> Fri, 22 Mar 2019 12:50:17 GMT /slideshow/towards-data-operations/137675608 pilillo@slideshare.net(pilillo) Towards Data Operations pilillo A short introduction to the trend of Data Operations, an approach to agile data analytics projects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataops1-190322125017-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A short introduction to the trend of Data Operations, an approach to agile data analytics projects.
Towards Data Operations from Andrea Monacchi
]]> 869 4 https://cdn.slidesharecdn.com/ss_thumbnails/dataops1-190322125017-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Welcome to Load Disaggregation and Building Energy Management /slideshow/welcome-to-load-disaggregation-and-building-energy-management/87835425 welcome-meetup-2nd-180212084328
The welcome presentation at the 2nd Smart Microgrids Munich Meetup, focused on Load Disaggregation and Building Energy Management.]]>
The welcome presentation at the 2nd Smart Microgrids Munich Meetup, focused on Load Disaggregation and Building Energy Management.]]> Mon, 12 Feb 2018 08:43:28 GMT /slideshow/welcome-to-load-disaggregation-and-building-energy-management/87835425 pilillo@slideshare.net(pilillo) Welcome to Load Disaggregation and Building Energy Management pilillo The welcome presentation at the 2nd Smart Microgrids Munich Meetup, focused on Load Disaggregation and Building Energy Management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/welcome-meetup-2nd-180212084328-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The welcome presentation at the 2nd Smart Microgrids Munich Meetup, focused on Load Disaggregation and Building Energy Management.
Welcome to Load Disaggregation and Building Energy Management from Andrea Monacchi
]]> 189 2 https://cdn.slidesharecdn.com/ss_thumbnails/welcome-meetup-2nd-180212084328-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 An Early Warning System for Ambient Assisted Living /slideshow/an-early-warning-system-for-ambient-assisted-living/66689202 slide-161003211352
A Proof of Concept of an early warning system that is able to simulate users and spot potential dangers before they occur. We desire in particular assist and alert users in order to prevent them from getting in dangerous situations, which is important when dealing with impaired individuals.]]>
A Proof of Concept of an early warning system that is able to simulate users and spot potential dangers before they occur. We desire in particular assist and alert users in order to prevent them from getting in dangerous situations, which is important when dealing with impaired individuals.]]> Mon, 03 Oct 2016 21:13:52 GMT /slideshow/an-early-warning-system-for-ambient-assisted-living/66689202 pilillo@slideshare.net(pilillo) An Early Warning System for Ambient Assisted Living pilillo A Proof of Concept of an early warning system that is able to simulate users and spot potential dangers before they occur. We desire in particular assist and alert users in order to prevent them from getting in dangerous situations, which is important when dealing with impaired individuals. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slide-161003211352-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Proof of Concept of an early warning system that is able to simulate users and spot potential dangers before they occur. We desire in particular assist and alert users in order to prevent them from getting in dangerous situations, which is important when dealing with impaired individuals.
An Early Warning System for Ambient Assisted Living from Andrea Monacchi
]]> 1039 5 https://cdn.slidesharecdn.com/ss_thumbnails/slide-161003211352-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Assisting Energy Management in Smart Buildings and Microgrids /slideshow/assisting-energy-management-in-smart-buildings-and-microgrids/66688727 slides-161003205817
Increasing the use of renewable sources for energy generation bring in the power grid a stochasticity that needs to be addressed with appropriate control mechanism. Demand response is one of such a kind of control mechanism. In particular a price is used to reflect the current availability and demand of energy. Based on this concept we investigate possible use of a price signal to coordinate the operation of small electrical prosumers. In addition we provide interactive means that can assist human decision makers.]]>
Increasing the use of renewable sources for energy generation bring in the power grid a stochasticity that needs to be addressed with appropriate control mechanism. Demand response is one of such a kind of control mechanism. In particular a price is used to reflect the current availability and demand of energy. Based on this concept we investigate possible use of a price signal to coordinate the operation of small electrical prosumers. In addition we provide interactive means that can assist human decision makers.]]> Mon, 03 Oct 2016 20:58:17 GMT /slideshow/assisting-energy-management-in-smart-buildings-and-microgrids/66688727 pilillo@slideshare.net(pilillo) Assisting Energy Management in Smart Buildings and Microgrids pilillo Increasing the use of renewable sources for energy generation bring in the power grid a stochasticity that needs to be addressed with appropriate control mechanism. Demand response is one of such a kind of control mechanism. In particular a price is used to reflect the current availability and demand of energy. Based on this concept we investigate possible use of a price signal to coordinate the operation of small electrical prosumers. In addition we provide interactive means that can assist human decision makers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-161003205817-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Increasing the use of renewable sources for energy generation bring in the power grid a stochasticity that needs to be addressed with appropriate control mechanism. Demand response is one of such a kind of control mechanism. In particular a price is used to reflect the current availability and demand of energy. Based on this concept we investigate possible use of a price signal to coordinate the operation of small electrical prosumers. In addition we provide interactive means that can assist human decision makers.
Assisting Energy Management in Smart Buildings and Microgrids from Andrea Monacchi
]]> 996 3 https://cdn.slidesharecdn.com/ss_thumbnails/slides-161003205817-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Analytics as value added service for energy utilities /slideshow/analytics-as-value-added-service-for-energy-utilities/65347491 l6nrnpuutvsq1xr9f82p-signature-6b70b8b45d25db01f86024122792ab0c5813dccbcbea7ba5b985fb54c2939c19-poli-160825082051
making sense of data in order to provide value added services to energy-related customers]]>
making sense of data in order to provide value added services to energy-related customers]]> Thu, 25 Aug 2016 08:20:51 GMT /slideshow/analytics-as-value-added-service-for-energy-utilities/65347491 pilillo@slideshare.net(pilillo) Analytics as value added service for energy utilities pilillo making sense of data in order to provide value added services to energy-related customers <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/l6nrnpuutvsq1xr9f82p-signature-6b70b8b45d25db01f86024122792ab0c5813dccbcbea7ba5b985fb54c2939c19-poli-160825082051-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> making sense of data in order to provide value added services to energy-related customers
Analytics as value added service for energy utilities from Andrea Monacchi
]]> 464 8 https://cdn.slidesharecdn.com/ss_thumbnails/l6nrnpuutvsq1xr9f82p-signature-6b70b8b45d25db01f86024122792ab0c5813dccbcbea7ba5b985fb54c2939c19-poli-160825082051-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 HEMS: A Home Energy Market Simulator /slideshow/hems-a-home-energy-market-simulator/41503626 monacchihemssimulator-141113053713-conversion-gate02
Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.]]>
Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.]]> Thu, 13 Nov 2014 05:37:13 GMT /slideshow/hems-a-home-energy-market-simulator/41503626 pilillo@slideshare.net(pilillo) HEMS: A Home Energy Market Simulator pilillo Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/monacchihemssimulator-141113053713-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.
HEMS: A Home Energy Market Simulator from Andrea Monacchi
]]> 2462 7 https://cdn.slidesharecdn.com/ss_thumbnails/monacchihemssimulator-141113053713-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 GREEND: An energy consumption dataset of households in Austria and Italy /slideshow/greend-an-energy-consumption-dataset-of-households-in-austria-and-italy/41089446 greendpresentation-141104021200-conversion-gate01
Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.]]>
Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.]]> Tue, 04 Nov 2014 02:12:00 GMT /slideshow/greend-an-energy-consumption-dataset-of-households-in-austria-and-italy/41089446 pilillo@slideshare.net(pilillo) GREEND: An energy consumption dataset of households in Austria and Italy pilillo Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/greendpresentation-141104021200-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.
GREEND: An energy consumption dataset of households in Austria and Italy from Andrea Monacchi
]]> 2901 3 https://cdn.slidesharecdn.com/ss_thumbnails/greendpresentation-141104021200-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-pilillo-48x48.jpg?cb=1705656200 I consult for data analytics projects. Over 2016-2018 I have been a Data Science & Engineering Consultant at Data Reply in Munich. Over 2012-2016, I have been research assistant at the Institute of Networked and Embedded Systems of Alpen-Adria Universität Klagenfurt (Austria), working on intelligent energy applications in Smart homes, namely on solutions to improve energy awareness and facilitate the integration of renewable energy generation. In June 2012, I received a MSc in Computer Science from Reykjavik University (Iceland) and University of Camerino (Italy). In 2010, I graduated as a BSc in Applied Computer Science with focus on Embedded Systems at University of Urbino (Italy). monacchi.altervista.org https://cdn.slidesharecdn.com/ss_thumbnails/mastroslides-210911100201-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mastro-250169895/250169895 Mastro https://cdn.slidesharecdn.com/ss_thumbnails/mastro-210625133857-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mastro-249489842/249489842 Mastro https://cdn.slidesharecdn.com/ss_thumbnails/coordinationindistributedsystems-201202175117-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/coordination-in-distributed-systems/239690796 Coordination in distri...