Mathematical modeling | Mathematical optimization
Energy modeling or energy system modeling is the process of building computer models of energy systems in order to analyze them. Such models often employ scenario analysis to investigate different assumptions about the technical and economic conditions at play. Outputs may include the system feasibility, greenhouse gas emissions, cumulative financial costs, natural resource use, and energy efficiency of the system under investigation. A wide range of techniques are employed, ranging from broadly economic to broadly engineering. Mathematical optimization is often used to determine the least-cost in some sense. Models can be international, regional, national, municipal, or stand-alone in scope. Governments maintain national energy models for energy policy development. Energy models are usually intended to contribute variously to system operations, engineering design, or energy policy development. This page concentrates on policy models. Individual building energy simulations are explicitly excluded, although they too are sometimes called energy models. IPCC-style integrated assessment models, which also contain a representation of the world energy system and are used to examine global transformation pathways through to 2050 or 2100 are not considered here in detail. Energy modeling has increased in importance as the need for climate change mitigation has grown in importance. The energy supply sector is the largest contributor to global greenhouse gas emissions. The IPCC reports that climate change mitigation will require a fundamental transformation of the energy supply system, including the substitution of unabated (not captured by CCS) fossil fuel conversion technologies by low-GHG alternatives. (Wikipedia).
Visualization of conservation of energy
See explanations for this video in https://www.udiprod.com/energy/
From playlist Animated Physics Simulations
A solar system, a simulation made with Excel
An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap
From playlist Physics simulations
Concept Learning with Energy-Based Models (Paper Explained)
This is a hard paper! Energy-functions are typically a mere afterthought in current machine learning. A core function of the Energy - its smoothness - is usually not exploited at inference time. This paper takes a stab at it. Inferring concepts, world states, and attention masks via gradie
From playlist Papers Explained
Your Brain on Energy-Based Models: Applying and Scaling EBMs to Problems...- Will Grathwohl
Seminar on Theoretical Machine Learning Topic: Your Brain on Energy-Based Models: Applying and Scaling EBMs to Problems of Interest to Machine Learning Speaker: Will Grathwohl Affiliation: University of Toronto Date: March 10, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Learn the basics of what energy is, how it is converted into other forms, and why some sources of energy are more useful and efficient than others. Play the Energy Lab: http://www.pbs.org/wgbh/nova/labs/lab/energy/ Find discussion questions for this video and other resources in the Ener
From playlist NOVA Labs
Solar power monitoring and logging solution - Part 2
Using Excel to graph the output from the multimeters...
From playlist Electronic Measurement Equipment
Is renewable energy really sustainable?
Renewable energy is described as replenishable, safe for the environment, and available in the long term. But do all renewable energy sources meet these criteria? Watch to find out. Find out more information at https://bit.ly/3p0Thsz To get the latest science and technology news, su
From playlist Theory to Reality
Solar power monitoring and logging solution - Part 1
I put together a "cheap" solution to monitor and log power from my test solar system.
From playlist Electronic Measurement Equipment
Imprints of interacting dark universe on cosmological perturbations by Sudipta Das
PROGRAM LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan
From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE
Dark Energy Beyond A by Anjan Ananda Sen
Candles of Darkness DATE: 05 June TIME2017 to 09 June 2017 VENUE:Ramanujan Lecture Hall, ICTS Bangalore DARK MATTER AND THE SEARCH FOR PHYSICS BEYOND THE STANDARD MODEL "Darkness is your candle. Your boundaries are your quest."- Jalal-ud-din Rumi of Balkh (1207 - 1273) High energy Phys
From playlist Candles of Darkness
Yann LeCun: "Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction, Pt. 4"
Graduate Summer School 2012: Deep Learning, Feature Learning "Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction, Pt. 4" Yann LeCun, New York University Institute for Pure and Applied Mathematics, UCLA July 13, 2012 For more information: https://www.ipam.ucla.ed
From playlist GSS2012: Deep Learning, Feature Learning
Kolmogorov, Onsager and a stochastic model for turbulence - Susan Friedlander
Analysis Seminar Topic: Kolmogorov, Onsager and a stochastic model for turbulence Speaker: Susan Friedlander Affiliation: University of Southern California; Member, School of Mathematics Date: October 26, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Teach Astronomy - Types of Energy
http://www.teachastronomy.com/ There are several broad types of energy. Energy is measured in units of calories in the English system or joules in the international system of metric units. One broad category of energy is kinetic energy, or the energy of motion. A second broad category of
From playlist 04. Chemistry and Physics
Statistical Properties of the Navier-Stokes-Voigt Model by Edriss S. Titi
Program Turbulence: Problems at the Interface of Mathematics and Physics (ONLINE) ORGANIZERS: Uriel Frisch (Observatoire de la Côte d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (Indian Institute of Science, Bengaluru) DATE: 07 December 202
From playlist Turbulence: Problems at The Interface of Mathematics and Physics (Online)
Spin Glasses and Related Systems (Lecture 5) by Chandan Dasgupta
PROGRAM: BANGALORE SCHOOL ON STATISTICAL PHYSICS - XIII (HYBRID) ORGANIZERS: Abhishek Dhar (ICTS-TIFR, India) and Sanjib Sabhapandit (RRI, India) DATE & TIME: 11 July 2022 to 22 July 2022 VENUE: Madhava Lecture Hall and Online This school is the thirteenth in the series. The schoo
From playlist Bangalore School on Statistical Physics - XIII - 2022 (Live Streamed)
Dynamics of waves and vortices in the ocean by Jim Thomas
ICTS Seminar Title : Dynamics of waves and vortices in the ocean Speaker : Jim Thomas (University of North Carolina at Chapel Hill, United States) Date : Monday, 2nd November,
From playlist Seminar Series
Quantized Energy Equation (Quantum Physics)
#Quantum #Physics #Engineering #tiktok #NicholasGKK #shorts
From playlist Quantum Mechanics
Yann LeCun | May 18, 2021 | The Energy-Based Learning Model
Title: The Energy-Based Learning Model Speaker: Yann LeCun Abstract: One of the hottest sub-topics of machine learning in recent times has been Self-Supervised Learning (SSL). In SSL, a learning machine captures the dependencies between input variables, some of which may be observed, denot
From playlist AI talks