Task: Formula-prediction-context (source dataset: pge-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A   | B                                                                                                                                                                      | C   | D   | E   | F   | G   | H   | I   | J                        | K        | L      |
|---:|:----|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----|:----|:----|:----|:----|:----|:----|:-------------------------|:---------|:-------|
|  1 |     | Pacific Gas and Electric Company                                                                                                                                       |     |     |     |     |     |     |     |                          |          |        |
|  2 |     | ENERGY PRICES FOR QUALIFYING FACILITIES                                                                                                                                |     |     |     |     |     |     |     |                          |          |        |
|  3 |     | PER LEGACY AMENDMENT PRICING OPTIONS C2 AND C3                                                                                                                         |     |     |     |     |     |     |     |                          |          |        |
|  4 |     |                                                                                                                                                                        |     |     |     |     |     |     |     |                          |          |        |
|  5 |     | [Target Cell]                                                                                                                                                          |     |     |     |     |     |     |     |                          |          |        |
|  6 |     | Submitted 04/11/2018                                                                                                                                                   |     |     |     |     |     |     |     |                          |          |        |
|  7 |     | Prepared pursuant to Decision D.10-12-035 and Resolution E-4246                                                                                                        |     |     |     |     |     |     |     |                          |          |        |
|  8 |     | 2018-04-01 00:00:00                                                                                                                                                    |     |     |     |     |     |     |     | Energy Prices ($/kWh)    | Winter   | Summer |
|  9 |     |                                                                                                                                                                        |     |     |     |     |     |     |     |                          |          |        |
| 10 |     | Energy price (EP) in $/kWh is calculated based on substituting the variables below into the formula adopted in D.10-12-035:                                            |     |     |     |     |     |     |     | Peak                     | 0        | 0      |
| 11 |     |                                                                                                                                                                        |     |     |     |     |     |     |     | Partial-Peak             | 0.034884 | 0      |
| 12 |     |                                                                                                                                                                        |     |     |     |     |     |     |     | Off-Peak                 | 0.029106 | 0      |
| 13 |     | EP = [(Applicable HR * TOU) - Applicable BTU] * (BTGP / 10^6) + (VOM * TOU)                                                                                            |     |     |     |     |     |     |     | Super Off-Peak           | 0.027804 | 0      |
| 14 |     | These energy prices do not include applicable GHG Compliance Costs (GHG), which will vary between Options C2 and C3, or Locational Adjustments (LA) under D.10-12-035. |     |     |     |     |     |     |     | Monthly Weighted Average | 0.03108  | 0      |
| 15 |     |                                                                                                                                                                        |     |     |     |     |     |     |     |                          |          |        |



min_row: 1
max_row: 15
min_col: 1
max_col: 12
target_cell_row_idx: 5
target_cell_col_idx: 2
target_cell_value: EFFECTIVE April 1 - 30, 2018
formula: ="EFFECTIVE "&TEXT(DATE(YEAR(B8),MONTH(B8),DAY(B8)),"mmmm")&" "&DAY(B8)&" - "&DAY(EOMONTH(B8,0))&", "&YEAR(B8)&""