jiweiqi

jiweiqi

[
    {
        "question": "The discussion revolves around the benefits and practical considerations of using heat pump clothes dryers. Key aspects include their placement flexibility, energy efficiency, and impact on clothes and home environment.",
        "solutions": [
            "Heat pump dryers can be placed anywhere due to being unvented, offering more space and utility in homes.",
            "These dryers are energy-efficient, reducing electricity bills and HVAC workload by not requiring external venting.",
            "They are gentler on clothes, extending their lifespan.",
            "Initial higher costs can be offset by deals, rebates, and long-term energy savings.",
            "Users shared experiences with specific models, both positive and negative, and discussed maintenance and installation challenges.",
            "The thread also touched on broader topics like energy costs, efficiency in different climates, and comparisons with traditional drying methods."

jiweiqi

jiweiqi

import re
import pgeocode
from tqdm import tqdm

import pandas as pd
import numpy as np


df_college_4 = pd.read_excel('./4-year updated.xlsx',

jiweiqi

```
Simulate an unsteady PSR with oscilation
```

using Arrhenius
using LinearAlgebra
using DifferentialEquations
using ForwardDiff
using DiffEqSensitivity
using Sundials

jiweiqi

using OrdinaryDiffEq, Flux, Random, Plots
using DiffEqSensitivity
using ForwardDiff
using LinearAlgebra, Statistics
using ProgressBars, Printf
using Flux.Optimise: update!, ExpDecay
using Flux.Losses: mae, mse
using BSON: @save, @load
using MINPACK

jiweiqi

using LsqFit
using ForwardDiff
using Plots
using Flux
using MINPACK

xdata = 0.0:0.1:10.0
xdata = xdata'
ydata = Float64.(vec(sin.(xdata)))

jiweiqi

jiweiqi

using LsqFit
using ForwardDiff
using Plots
using Flux

xdata = 0.0:1.0:10.0
xdata = xdata'
ydata = Float32.(vec(sin.(xdata)))

nn = Chain(