The Copernicus programme (REGULATION (EU) No 377/2014) is a cornerstone of the European Union´ efforts:
To monitor the Earth, its environment and ecosystems
To ensure its citizens are prepared and protected for crises, security risks and natural or man-made disasters
Copernicus as user driven Programme
Places a world of insight (data and information) about our planet at the disposal of citizens, public authorities and policy makers, scientists, entrepreneurs and businesses on a full, free and open basis
Is a tool for economic development and a driver for the digital economy
IRENA Global Atlas Suitability Analysis for solar and wind energy in West AfricaIRENA Global Atlas
Suitability Analysis for solar and wind energy in West Africa presentation (powered by the Global Atlas) at the World Future Energy Summit 2017 in Abu Dhabi at the Renewable Energy Entrepreneurship side event.
The Copernicus programme (REGULATION (EU) No 377/2014) is a cornerstone of the European Union´ efforts:
To monitor the Earth, its environment and ecosystems
To ensure its citizens are prepared and protected for crises, security risks and natural or man-made disasters
Copernicus as user driven Programme
Places a world of insight (data and information) about our planet at the disposal of citizens, public authorities and policy makers, scientists, entrepreneurs and businesses on a full, free and open basis
Is a tool for economic development and a driver for the digital economy
IRENA Global Atlas Suitability Analysis for solar and wind energy in West AfricaIRENA Global Atlas
Suitability Analysis for solar and wind energy in West Africa presentation (powered by the Global Atlas) at the World Future Energy Summit 2017 in Abu Dhabi at the Renewable Energy Entrepreneurship side event.
IReact for climate change: predictive mappingSpeck&Tech
This talk introduces you to IReact, a European project aiming to create a system for disaster risk reduction. You will be shown some hazard models, targeting for example heat waves in Europe. We will then move to ClimAtlas, an open-source repository for climate data in Trentino.
ASCERTAIN PRIVACY CONSERVATION AND DATA SECURITY PROTECTION ONBOARD SMALL UASNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
A quick 10min run-through the Economic Footprint situation of the UK Electronic System COmmunity, two years on from the ESCO Report. (Full Excel spreadsheet available via the link on the first slide)
The REDD+ satellite based land cover monitoring system for MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Project Controls Expo 18th Nov 2014 - "Cost Estimate Risk Analysis: For Capit...Project Controls Expo
Once a project or a turnaround team has developed a cost estimate, they are usually required to assign an accuracy range to the estimate and calculate the contingency. Some teams take a simplistic view that if the design package has been developed to a certain standard or class, then the accuracy range can be assigned according to common rules of thumb. However, this route can bypass the requirement to calculate contingency, and it looks at only the “systemic” uncertainty in the estimate, while ignoring any “project specific” uncertainty and risk. In addition, copious evidence over the past 30 years shows that, if left unguided, teams are generally over-optimistic and hence under-estimate the contingency required and assign too tight an accuracy range. If we look at the common methodologies used by teams, there are a number of common misconceptions and errors that contribute to this under-estimation.
Pilot plant design steps and engineering considerations. View how pilot plants go from concept to commissioning with the help of a professional engineering design and fabrication firm. To speak with an engineer about your pilot plant design project, call EPIC at 314-207-4250.
A PROJECT REPORT ON RISK ANALYSIS AND RISK MANAGEMENT IN INVESTING IN INSUR...Abhishek Raj
The project has been undertaken to know about different types of risk that can covered by insurance policies and how to analyse and mange those risks as there are various types of risk that a person can suffers in his life term.
The project talks about what are the various things that customer should consider before buying an insurance policy and various steps that need to consider before buying it.
Optimal combinaison of CFD modeling and statistical learning for short-term w...Jean-Claude Meteodyn
After almost three decades of active research, short-term wind power forecasting is now considered as a mature field. It has been widely and successfully put into operation within the past ten years. Meteodyn with over a decade of experience in wind engineering has contributed to this spread with tens of wind farm equipped with forecast solutions around the world. Our next-generation short-term forecasting solution has been designed to makes the most of both a tailored micro-scale CFD modeling and advanced statistical learning. In the frame of our model design, various options have been considered and evaluated taking into account both model performance and operational constraints. Two main approaches for wind power forecasting are usually considered in the literature (and sometimes opposed): “physical” and “statistical”. It is widely admitted that an optimal combination of both is necessary to build a high performance forecasting system. However, behind "optimal combination" resides a wide variety of design options. We propose here to shed some light on what performances one should expect from several modeling options for combining physics (mesoscale/CFD modeling) and statistics (grey/black box statistical learning, phase/magnitude correction, data filtering). Case studies are taken from real wind farms in various climate and terrain conditions.
In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts.
"I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future."
Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017.
Watch the video: https://youtu.be/ks3fkRj8Iqc
Learn more: https://www.ecmwf.int/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
IReact for climate change: predictive mappingSpeck&Tech
This talk introduces you to IReact, a European project aiming to create a system for disaster risk reduction. You will be shown some hazard models, targeting for example heat waves in Europe. We will then move to ClimAtlas, an open-source repository for climate data in Trentino.
ASCERTAIN PRIVACY CONSERVATION AND DATA SECURITY PROTECTION ONBOARD SMALL UASNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
A quick 10min run-through the Economic Footprint situation of the UK Electronic System COmmunity, two years on from the ESCO Report. (Full Excel spreadsheet available via the link on the first slide)
The REDD+ satellite based land cover monitoring system for MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Project Controls Expo 18th Nov 2014 - "Cost Estimate Risk Analysis: For Capit...Project Controls Expo
Once a project or a turnaround team has developed a cost estimate, they are usually required to assign an accuracy range to the estimate and calculate the contingency. Some teams take a simplistic view that if the design package has been developed to a certain standard or class, then the accuracy range can be assigned according to common rules of thumb. However, this route can bypass the requirement to calculate contingency, and it looks at only the “systemic” uncertainty in the estimate, while ignoring any “project specific” uncertainty and risk. In addition, copious evidence over the past 30 years shows that, if left unguided, teams are generally over-optimistic and hence under-estimate the contingency required and assign too tight an accuracy range. If we look at the common methodologies used by teams, there are a number of common misconceptions and errors that contribute to this under-estimation.
Pilot plant design steps and engineering considerations. View how pilot plants go from concept to commissioning with the help of a professional engineering design and fabrication firm. To speak with an engineer about your pilot plant design project, call EPIC at 314-207-4250.
A PROJECT REPORT ON RISK ANALYSIS AND RISK MANAGEMENT IN INVESTING IN INSUR...Abhishek Raj
The project has been undertaken to know about different types of risk that can covered by insurance policies and how to analyse and mange those risks as there are various types of risk that a person can suffers in his life term.
The project talks about what are the various things that customer should consider before buying an insurance policy and various steps that need to consider before buying it.
Optimal combinaison of CFD modeling and statistical learning for short-term w...Jean-Claude Meteodyn
After almost three decades of active research, short-term wind power forecasting is now considered as a mature field. It has been widely and successfully put into operation within the past ten years. Meteodyn with over a decade of experience in wind engineering has contributed to this spread with tens of wind farm equipped with forecast solutions around the world. Our next-generation short-term forecasting solution has been designed to makes the most of both a tailored micro-scale CFD modeling and advanced statistical learning. In the frame of our model design, various options have been considered and evaluated taking into account both model performance and operational constraints. Two main approaches for wind power forecasting are usually considered in the literature (and sometimes opposed): “physical” and “statistical”. It is widely admitted that an optimal combination of both is necessary to build a high performance forecasting system. However, behind "optimal combination" resides a wide variety of design options. We propose here to shed some light on what performances one should expect from several modeling options for combining physics (mesoscale/CFD modeling) and statistics (grey/black box statistical learning, phase/magnitude correction, data filtering). Case studies are taken from real wind farms in various climate and terrain conditions.
In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts.
"I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future."
Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017.
Watch the video: https://youtu.be/ks3fkRj8Iqc
Learn more: https://www.ecmwf.int/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
On Friday October 14 at 10, at the headquarters of Novacaixagalicia Foundation in Santiago de Compostela, the Chairman of Ports, Gozález Laxe Fernando and the Director General Merchant Marine, Maria Isabel Durantez, will present "Results of MyOcean Project. New Frontiers in Operational Oceanography" the most Operational Oceanography ambitious those undertaken to date by the European Union.
Building Climate Resilience: Translating Climate Data into Risk Assessments Safe Software
Climate change affects us all. It is an urgent issue that requires practical solutions to mitigate its impacts. Data is at the center of understanding this challenge. In this informative webinar, we will explore how data can be leveraged to translate climate change projections into tangible hazard and risk assessments at the local level.
The webinar will cover a range of topics: including flood, fire, heat, drought, population health, and critical infrastructure, among others. We will also highlight our partner and customer experiences in this field and present key results from our participation in recent OGC pilots on Climate Resilience and Disaster Response. We will also be joined by special guests sharing their experience in the AgriTech sector, where gathering metrics and data from sensors is helping to reduce the demand from farming on precious resources like water for irrigation.
Through live demos, attendees will gain practical knowledge in accessing climate services from USGS & Environment Canada and how to convert climate model NetCDF outputs into more GIS-friendly formats like geodatabase & GeoJSON.
Finally, we will address the significant gaps and challenges that remain in assessing climate-related hazards and risks, and explore how FME can play a critical role in addressing these gaps. Join us for this important discussion on how you can use FME to build resilience and mitigate the impacts of climate change.
Short-term forecasting is usually classified into two groups: the first approach uses physical model in order to compute the downscaling, whereas the second group relies on statistical learning. We propose a new strategy based on both approaches: a micro-scale CFD model coupled with an artificial neural network correction. Selection of the optimal neural network is achieved through a genetic algorithm. This solution is tested on a real case, which leads to a relative RMSE improvement of 17%.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
1. steadyMet /
Service / Technology Fact Sheet
Meteorological solar production forecast is the oldest and most
used technology to meet forecasting needs over the next few days.
Solar Energy production experiences spectacular growth at world
level and forecasting requirements have become paramount.
Solar production forecast essentially depends on sunlight and
temperature, themselves influenced by different phenomena
(clouds, fog, wind, etc.)
SteadyMet takes into account a series of parameters, making it
possible to provide the finest, most efficient and advanced solar
production forecast on the market.
NUMERICAL WEATHER
PREDICTION
NOAA GFS
model
for D+10
forecast
ECMWF IFS
model
for D+2
forecast
WEATHER
PARAMETERS :
GHI, surface
temperature, DNI,
Wind
SOLAR PRODUCTION
FORECAST from 0 to 10 days
TIME STEP from one minute
UPDATED TWICE / DAY (IFS)
and 4 TIMES/DAY (GFS)
Limited area
MESOSCALE
NUMERICAL
WEATHER
PREDICTION
SYSTEM WRF
, configuration, optimized solutionEXPERT
SELF-LEARNING
steadyMet structure
* ECMWF is Europe’s medium term weather forecasting centre, *GFS is a US weather forecasting model, * NOAA is the US Oceanic and atmospheric observation agency, * IFS is a forecasting model
from ECMWF, * DNI [direct normal irradiance] is the amount of sun light received by a surface constantly turned towards the sun, * GHI [global horizontal irradiance] is the amount of sun light
received by a horizontal surface.
Selection and processing of meteorological data
GFS / spatial resolution ~ 50 km IFS / spatial resolution ~ 12 km WRF / spatial resolution ~ 3 km
Production forecast for the coming days is thus achieved based on
meteorological models and production data available.
Forecasts can be updated every 6 hours.
They are based on an expert system that combines artificial
intelligence, statistical and physical models.
Local weather peculiarities are taken into account, and the self-
learning module achieves greater accuracy.
2. +33(0)9 70 75 34 16 - contact@steady-sun.com - www.steady-sun.com
Savoie Technolac - BP 40328 - 73377 Le Bourget du Lac cedex - France
FEATURE AVAILABILITY
Forecast at country level
Forecast at regional level
Forecast at town level
Forecast at site level
Forecast for a portfolio
(stations spread over a territory)
DNI (Direct Normal Irradiance) forecast
GHI (Global Horizontal Irradiance)
forecast
GTI (Global Tilted Irradiance) forecast
Temperature forecast
Production forecast
Time horizon up to 15 days
Time horizon up to 6 hours
Time horizon up to 60 minutes
Update 4 times / day
Update 96 times / day
Update 1440 times / day
Time step from one minute
Suitable for all PV technologies
Suitable for CPV (Concentrated
Photovoltaic) technology
Suitable for CSP (Concentrated Solar
Power) technology
Including 1-axis tracking
Including 2-axis tracking
Percentiles (P10, P20, P30, P40, P50,
P60, P70, P80, P90)
Forecast D+3, over the whole of Germany for TSO and traders
D + 3 Forecast, for an operator with an 80MW power plant
with 1 axis tracker in South Africa
36 hours Forecast, for a region in Italy (1,450MW)
Production & forecast history (data over one year)
Steadysun offers a range of upgradable
solutions to meet your future needs.
We invite you to discover our short-term
forecasting solution SteadySat and our
quasi real-time forecast solution SteadyEye.
Forecast up to 25 hours, for an island in the Atlantic Ocean (100MW)