An issue first highlighted by NBC Connecticut Investigates drew attention at the state capitol on Thursday. Lawmakers questioned utility regulators about the thousands of "double utility poles" still ...

Artificial intelligence data centers consume massive amounts of electricity. Conventional suppliers, in fact, are struggling to keep up with demand. Constellation Energy's unique mix of production ...

from cuopt.linear_programming import DataModel, Solve, SolverSettings import numpy as np from cuopt_mps_parser import ParseMps dm = ParseMps("Bug2.mps") sol = Solve ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Some PG&E customers are complaining about technical problems with their online accounts after a recent upgrade to the website portal. Trump canceling GDP report comes under scrutiny Trump moves ...

In the fast-paced world of tactical shooters, Valorant has carved a unique niche with its hybrid gameplay, combining precise gunplay with agent-specific abilities. However, as the game has matured and ...

It takes a village, so they say. To raise a child, sure, but also to navigate the increasingly complex electric utilities space. “We believe solving the problems of today’s utility world is a team ...

To the editor: Some letter writers have recently voiced the opinion that private electric utilities should be publicly owned. But converting private utilities to public ownership is not easy. No large ...

Abstract: Network utility maximization (NUM) addresses the problem of allocating resources fairly within a network and explores the ways to achieve optimal allocation in real-world networks. Although ...

NetMax is a Python library that provides the implementation of several algorithms for the problem of Influence Maximization in Social Networks, originally formulated in "Maximizing the Spread of ...