Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
GitHub

energy-optimization

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

Mitsubishi Heavy Industries (MHI): MHI Study Results Indicate Potential Cost Reductions in the Decarbonization Value Chain Using Green Hydrogen and Ammonia Produced in India

Economic Viability Evaluated under METI's "FY2023 Supplementary Funds for The Global South Future-Oriented Co-Creation Program" --- An analysis was conducted, in collaboration with Hygenco-MHI's partn ...
IEEE

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming

Abstract: This paper presents a neurodynamic optimization approach to bilevel quadratic programming (BQP). Based on the Karush-Kuhn-Tucker (KKT) theorem, the BQP problem is reduced to a one-level ...
IEEE

A New Mixed Integer Linear Programming Formulation for Protection Relay Coordination Using Disjunctive Inequalities

Abstract: Numerical optimization-based solution to directional overcurrent relay (DOCR) coordination problem has been a widely addressed research problem in the recent past. Many linear (LP), ...
JCN Newswire

MHI Study Results Indicate Potential Cost Reductions in the Decarbonization Value Chain Using Green Hydrogen and Ammonia Produced in India

As initiatives for decarbonization take place, there are growing expectations for green hydrogen and ammonia produced using renewable energy, but reducing the costs of full-scale implementation has ...